risk mitigation in the supply chain caused by multitple

183
University of Texas at El Paso DigitalCommons@UTEP Open Access eses & Dissertations 2017-01-01 Risk Mitigation in the Supply Chain Caused by Multitple Phase-in and Phase-out Components Using SIMIO Simulation Anabel Renteria Marquez University of Texas at El Paso, [email protected] Follow this and additional works at: hps://digitalcommons.utep.edu/open_etd Part of the Industrial Engineering Commons is is brought to you for free and open access by DigitalCommons@UTEP. It has been accepted for inclusion in Open Access eses & Dissertations by an authorized administrator of DigitalCommons@UTEP. For more information, please contact [email protected]. Recommended Citation Renteria Marquez, Anabel, "Risk Mitigation in the Supply Chain Caused by Multitple Phase-in and Phase-out Components Using SIMIO Simulation" (2017). Open Access eses & Dissertations. 535. hps://digitalcommons.utep.edu/open_etd/535

Upload: others

Post on 05-Dec-2021

6 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Risk Mitigation in the Supply Chain Caused by Multitple

University of Texas at El PasoDigitalCommons@UTEP

Open Access Theses & Dissertations

2017-01-01

Risk Mitigation in the Supply Chain Caused byMultitple Phase-in and Phase-out ComponentsUsing SIMIO SimulationAnabel Renteria MarquezUniversity of Texas at El Paso, [email protected]

Follow this and additional works at: https://digitalcommons.utep.edu/open_etdPart of the Industrial Engineering Commons

This is brought to you for free and open access by DigitalCommons@UTEP. It has been accepted for inclusion in Open Access Theses & Dissertationsby an authorized administrator of DigitalCommons@UTEP. For more information, please contact [email protected].

Recommended CitationRenteria Marquez, Anabel, "Risk Mitigation in the Supply Chain Caused by Multitple Phase-in and Phase-out Components UsingSIMIO Simulation" (2017). Open Access Theses & Dissertations. 535.https://digitalcommons.utep.edu/open_etd/535

Page 2: Risk Mitigation in the Supply Chain Caused by Multitple

RISK MITIGATION IN THE SUPPLY CHAIN CAUSED BY MULTIPLE

PHASE-IN AND PHASE-OUT COMPONENTS USING

SIMIO SIMULATION

ANABEL RENTERIA MARQUEZ

Master’s Program in Industrial Engineering

APPROVED:

Bill Tseng, Ph.D., Chair

Jianguo Wu, Ph.D., Co-Chair

Yirong Lin, Ph.D.

___________________________________

Charles H. Ambler, Ph.D. Dean of the Graduate School

Page 3: Risk Mitigation in the Supply Chain Caused by Multitple

RISK MITIGATION IN THE SUPPLY CHAIN CAUSED BY MULTIPLE

PHASE-IN AND PHASE-OUT COMPONENTS USING

SIMIO SIMULATION

By

ANABEL RENTERIA MARQUEZ, B.I.S.E.

THESIS

Presented to the Faculty of the Graduate School of

The University of Texas at El Paso

in Partial Fulfillment

of the Requirements

for the Degree of

MASTER OF SCIENCE

Department of Industrial Engineering

THE UNIVERSITY OF TEXAS AT EL PASO

August 2017

Page 4: Risk Mitigation in the Supply Chain Caused by Multitple

iii

ACKNOWLEDGMENTS

I would like to thank my advisor Dr. Bill Tseng for all his support and encouragement

during this project research, without his help this work would not be possible.

I would like to thank Dr. Yirong Lin and Dr. Jianguo Wu for been part of my thesis

committee and provide me useful suggestions.

Page 5: Risk Mitigation in the Supply Chain Caused by Multitple

iv

ABSTRACT

Manufacturing is constantly changing, adapting to new technologies and making

improvements on their products design, while dealing with engineering design changes can

represent an improvement or savings to the company it can also end up as a huge risk of

disruption in the Supply Chain if there is not a safety phase-in and phase-out components

transition because the network became more complex and affected processes needs to be

revalidated, here comes the importance to set up an strategy to mitigate any possible risk and

maximize total revenue.

A case study for a two tiers level Supply Chain system is evaluated using SIMIO

Simulation software in order to compare different inventory management models including

continuous orders, EOQ and POQ. Validation and final results for four different scenarios are

provided, selecting the optimal results for this particular model.

Page 6: Risk Mitigation in the Supply Chain Caused by Multitple

v

TABLE OF CONTENTS

ACKNOWLEDGEMENTS ...................................................................................................... iii

ABSTRACT .............................................................................................................................. iv

TABLE OF CONTENTS ........................................................................................................... v

LIST OF TABLES .................................................................................................................. viii

LIST OF FIGURES ................................................................................................................... ix

NOMENCLATURE .................................................................................................................. xi

CHAPTER 1: INTRODUCTION .............................................................................................. 1

1.1 Problem description .................................................................................................. 1

1.2 Problem classification .............................................................................................. 2

1.3 Logical reasoning to solve the problem.................................................................... 2

1.4 Supply Chain scenario .............................................................................................. 3

1.5 Purpose and scope of research .................................................................................. 3

1.6 Organization ............................................................................................................. 3

CHAPTER 2: LITERATURE REVIEW ................................................................................... 4

2.1 Supply Chain ............................................................................................................ 4

2.2 Resilience ................................................................................................................. 7

2.2.1 Capabilities and vulnerabilities of the Supply Chain ................................ 8

Page 7: Risk Mitigation in the Supply Chain Caused by Multitple

vi

2.2.2 Optimum point between flexibility and resilience..................................... 9

2.3 Product life cycle .................................................................................................... 10

2.4 Engineering design changes ................................................................................... 10

2.5 Deterministic models for inventory management .................................................. 11

2.6 Computer simulation .............................................................................................. 13

2.7 Probability distribution function............................................................................. 13

CHAPTER 3: METHODOLOGY ........................................................................................... 15

3.1 General problem description .................................................................................. 15

3.2 Case study: Evaluating phase in and phase out components transition in the SC .. 18

3.3 Modeling continuous orders to suppliers under normal conditions ....................... 19

3.3.1 Orders and raw material arrivals.............................................................. 20

3.3.2 Controlling maximum inventory ............................................................. 20

3.3.3 Supplier’s processing and quality inspection .......................................... 21

3.3.4 Transportation and travel logic ................................................................ 22

3.3.5 Model with continuous orders to suppliers .............................................. 22

3.4 Modeling continuous orders to suppliers when dealing with design changes ........ 23

3.4.1 Orders and raw material arrivals when dealing with changes .................. 23

Page 8: Risk Mitigation in the Supply Chain Caused by Multitple

vii

3.4.2 Supplier’s processing and quality inspection when dealing with changes .. 25

3.4.3 Model with continuous orders to suppliers when dealing with changes ...... 27

3.5 Modeling EOQ to request material when dealing with design changes ................. 27

3.5.1 Orders and raw materials arrivals using EOQ model ................................... 28

3.6 Modeling POQ to request material when dealing with design changes ................. 28

3.6.1 Orders and raw materials arrivals using POQ model .................................... 29

3.7 Model 3D animation ............................................................................................... 29

3.8 Model Validation .................................................................................................... 30

CHAPTER 4: COMPUTATIONAL RESULTS ...................................................................... 34

4.1 Simulation results ................................................................................................... 34

CHAPTER 5: CONCLUSION ................................................................................................. 36

LIST OF REFERENCES ......................................................................................................... 37

APPENDIX A .......................................................................................................................... 39

CURRICULUM VITA ........................................................................................................... 170

Page 9: Risk Mitigation in the Supply Chain Caused by Multitple

viii

LIST OF TABLES

Table 4.1: Comparison results for all different scenarios ........................................................ 35

Page 10: Risk Mitigation in the Supply Chain Caused by Multitple

ix

LIST OF FIGURES

Figure 2.1: General Supply Chain flow ..................................................................................... 7

Figure 2.2: Disruption in the Supply Chain and resilience ........................................................ 7

Figure 2.3: EOQ model example .............................................................................................. 12

Figure 2.4: POQ model example .............................................................................................. 13

Figure 3.1: Supply Chain diagram under normal conditions ................................................... 16

Figure 3.2: Supply Chain diagram when dealing with phase in and phase out components ... 17

Figure 3.3: Phase in and phase out components transition ...................................................... 18

Figure 3.4: Orders arrival from OEM to supplier .................................................................... 20

Figure 3.5: Controlling orders requested to supplier ................................................................ 21

Figure 3.6: Assigning processing times to different components ............................................ 21

Figure 3.7: Transport and travel logic ...................................................................................... 22

Figure 3.8: Suppliers logic with no design changes ................................................................. 23

Figure 3.9: Orders arrivals from OEM to supplier when dealing with changes ...................... 24

Figure 3.10: Processing time table, rate table and add-on process .......................................... 26

Figure 3.11: Efficiency of the process when introducing phase in components ..................... 26

Figure 3.12: Supplier logic with design changes ..................................................................... 27

Page 11: Risk Mitigation in the Supply Chain Caused by Multitple

x

Figure 3.13: Requesting material to supplier using EOQ model ............................................. 28

Figure 3.14: Requesting material to supplier using POQ model .............................................. 29

Figure 3.15: Two tiers Supply Chain level simulation............................................................. 30

Figure 3.16: Detail view of two tiers Supply Chain level simulation ...................................... 30

Figure 3.17: Average number waiting units in warehouse ....................................................... 31

Figure 3.18: Average number waiting units for processing ..................................................... 32

Figure 3.19: Average number waiting units for quality inspection.......................................... 32

Figure 3.20 Phase in and phase out components transition ...................................................... 33

Page 12: Risk Mitigation in the Supply Chain Caused by Multitple

xi

NOMENCLATURE

Acronyms

OEM Original Equipment Manufacturer

SC Supply Chain

PI Phase in

PO Phase out

BOM Bill of Materials

3D Three-dimension

WIP Work in Process

ERP Enterprise Resource Planning

EOQ Economical Order Quantity

POQ Product Order Quantity

ROP Reorder Point

Notations

Q Number of pieces per order

Q* Optimal number of pieces per order

D Annual demand

d Daily demand

L Lead time

H Cost for holding inventory per year

S Cost for ordering per order

p Production rate

Qp Number of pieces according to production rate

Page 13: Risk Mitigation in the Supply Chain Caused by Multitple

xii

Qp* Optimal number of pieces according to production rate

MTBCj Mean Time Between Changes

TTi Total production time for component I

TTj Total production time for component j

Ti Production time for component i

Tj Production time for component j

Qai Quality inspection for component i

Qaj Quality inspection for component j

Δj Increment of time for component j

λ Lambda

a Minimum value

m Most likely value

b Maximum value

β Beta

Page 14: Risk Mitigation in the Supply Chain Caused by Multitple

1

CHAPTER 1

INTRODUCTION

Manufacturing is constantly changing, adapting to new technologies and making

improvements in its products design to remain competitive and obtain the highest gain to the

company; but it is important to consider that the whole Supply Chain will be affected with every

single change, including suppliers, warehouses, transporters and manufacturers. Therefore having

a robustness and resilient Supply Chain has become an important factor to be prepared for

uncertainty situations. One of the most common mistakes when dealing with product design

changes at a specific component is to assume that it will not affect the supplier or Original

Equipment Manufacturer (processing time, quality inspection, change over and total scrap) lead

time to deliver the final product to the customer and consequently not been prepared for a

possible vulnerability in the process capability. There is a need to evaluate how design changes

affect the total lead time and revenues for the Original Equipment Manufacturer (OEM) in order

to determine the optimal solution that will reduce the risk of increasing lead time and therefore

reducing the total revenues of the company.

This Chapter will be distributed as follows; Section 1.1 includes the problem description

and identifies its limitations. Section 1.2 classifies current problem in a general basis. Section 1.3

includes an overview of the logical reasoning to solve the problem approach. Section 1.4 includes

a general case study description for the research evaluation. Section 1.5 describes the purpose and

objective for this specific topic. Section 1.6 details the organization of thesis.

1.1 Problem description

Companies have to deal with different challenges in order to remain competitive like

implementing technology and improving product design due to market trends; customers will

have higher expectations and therefore product life cycle shortens faster. Even though

Page 15: Risk Mitigation in the Supply Chain Caused by Multitple

2

implementing a product design change can help a company to stay as market leaders it can also

generate vulnerabilities in the supply chain due to the complexity of performing a successful

transition from the phase out component to the phase in component without compromise its

flexibility and capability to deliver orders according to the established lead time. This process

becomes more complex when dealing with multiple design change components at the same time

with different suppliers.

2.2. Problem classification

Every supply chain will be different according to the product complexity. Problem

described in Section 1.1 can be analyzed in a general case study covering a two tiers level system,

including arrival of raw material, arrival of customer orders, warehouse, manufacturing, quality

inspection and transportation from tier to tier. Multiple design change components can be

controlled during the simulation and different deterministic models for inventory management

can be evaluated also recommendations can be provided regarding resources used for process

capability and orders expedite when experienced big delays in lead time and facing risk for

revenue loses. By controlling these different variables it can be determine if there is any effect on

the lead time and total revenues when dealing with multiple design change components and how

to reduce risk from revenue loses.

2.2. Logical reasoning to solve the problem

This study uses SIMIO simulation software to evaluate and compare different scenarios

when dealing with multiple design change components and also to provide a 3D view of the

system and visually detecting bottlenecks for different suppliers and OEM. Computer simulation

is a tool that helps us to predict the future of a system’s behavior and prevent a possible risk

when dealing with uncertainties in the process.

Page 16: Risk Mitigation in the Supply Chain Caused by Multitple

3

2.2. Supply Chain scenario

A case study will be evaluated for a general product which its supply chain consist of a

two tier level system. This product will have multiple design change components during the

simulation period. Every component will have their own supplier and when a design change is

received the supplier will have to give higher priority to the component that they want to phase

out and introduce the phase in component which will increase processing time and quality

inspection until the supplier gains experience with the new one. Therefore delays in total lead

time will be observed.

1.5 Purpose and Scope of Research

The main purpose of this research is to evaluate the impact in the total lead time when

dealing with multiple design change components and to evaluate different deterministic models

for inventory management in order to reduce revenues loses. Also to provide recommendations

for resources utilization in the processing and quality inspection area in order to improve the

system capability and also to avoid increasing the total lead time.

2.2. Organization

Chapter 1 describes a basic concept of the impact in the supply chain when dealing with

product design changes. It also provides a brief overview of the system that will be use for

evaluation. Chapter 2 explains a detailed literature review of the supply chain concepts, product

design changes (phase out and phase in transition) and computer simulation modeling. Chapter 3

gives an overview of the problem description and methodology used to analyze the selected case

study. Chapter 4 discusses the obtained results for the different proposed scenarios for inventory

management. Chapter 5 provides conclusion and final recommendation for the model.

Page 17: Risk Mitigation in the Supply Chain Caused by Multitple

4

CHAPTER 2

LITERATURE REVIEW

This chapter covers pertinent topics related to component design changes in the Supply

Chain and Simulation Models. Section 2.1 describes the Supply Chain concept and principal

drivers that affect it. Section 2.2 provides the resilience concept, capabilities and vulnerabilities.

Section 2.3 explains the product life cycle stages. Section 2.4 includes engineering design

changes. Section 2.5 introduces different deterministic models for inventory management. Finally

Section 2.6 and 2.7 describes detail information regarding simulation models and probability

distribution functions.

2.1 Supply chain

Supply Chain is defined as all the parties involved, directly or indirectly, in fulfilling a

customer request. This includes not only the transformation of goods but also procurement,

production and transportation to the final customer [1]. Ref. [1] [2] defines Supply Chain as a

Complex Adaptive System in which it is important to develop a strategy, which includes defining

configuration, resources and processes for each stage. Part of defining the configuration is to

determine which components will be outsourced or in-house manufactured, defining the

transportation network, strategic warehouse locations and ERP system. There is also important to

consider the best production option from pull or push systems. Strategy designs normally are

meant to be defined as long-term, since making changes may result expensive when planning in

short notice.

There are six main drivers affecting the Supply Chain [1], which interacts together and are

fundamental for the logistics processes also allows the company to make improvements to

provide a better service.

Page 18: Risk Mitigation in the Supply Chain Caused by Multitple

5

Facilities: Include warehouses and production plan; strategic locations should be considered

according to the customer requirements. For facility selection, there must be considered factors

such product complexity and variety, average production batch size, production cycle time,

storage requirements.

Inventory: Including raw material, work in process (WIP) and finished goods. The level of

inventory should be directly proportional to the customer demand; it could be defined based on

historical data and forecasts. To select the most appropriate stock quantity the following factors

must be considered: the supplier lead time, batch size, customer demand and safety stock.

Transportation: All inventory movements should be considered as transportation, selecting

the best route is the most challenging part to achieve a short lead time. The transportation method

should be also selected by comparing price and waiting time. This driver affects both, the supply

chain efficiency and resilience. When dealing with an important customer order in which

flexibility may be needed and it is selected a faster transportation method to meet a deadline; the

cost for transportation will increase, making the supply chain more resilient but less efficiently.

There should be also considered the cost for losing a customer order to perform the transportation

cost decision.

Information: This driver is related with the ERP system established in the company for

information flow in the chain in every stage. Having high visibility of the supply chain allows to

offers a better service to the customers and performed data analytics for decision making. Some

of the important decisions an ERP system could help include: to evaluate push versus pull

production method, forecasting and planning for production on daily basis.

Page 19: Risk Mitigation in the Supply Chain Caused by Multitple

6

Sourcing: Selecting suppliers is another driver that will affect the supply chain, forming

partnerships and sharing risks, may be a good option for global sourcing companies. In this point

it is commonly to evaluate the option between outsourcing and producing a certain component in

house. Some of the metrics that should be considered is the price of the component, lead time of

the supplier, quality of the components and average demand.

Pricing: This driver will be a key factor to the customer to take the decision of acquires the

product or service according their needs and budget. Here comes the importance of selecting the

market sector before setting a final price. Some of the metrics that should be considered when

setting a price may include profit margin, fixed and variable cost, average sale price on the

market, order size and periodical sales.

The supply chain drivers will generate different impact to a company depending of the

product complexity and the risks associated with life cycle, demand variation and the number of

suppliers. In a general supply chain structure the main manufacturer received the name of

Original Equipment Manufacturer (OEM), suppliers that send material directly to the OEM

received the name of “1st Tier Supplier”, suppliers that send them material received the name of

“2nd

Tier Supplier”, until “n” Tier Supplier. Hence it is important to be aware of the number of

tiers suppliers in the chain needed to manufacture the product. The more number of tiers in the

supply chain will result in a higher risk of disruption [3]. Fig 1 shows a graphical representation

for a Supply Chain from the last tier (tier n) to the customer in which raw material flows in the

same direction, but information flows in the opposite direction.

Page 20: Risk Mitigation in the Supply Chain Caused by Multitple

7

Figure 2.1: General Supply Chain Flow

2.2 Resilience

In [5][6] resilience is defined as the capacity that a company has to react to any unexpected

scenario and reduce the risk of disruption in the supply chain. In other words, a company must

have the ability to return to either its original or move to a desired state after a disruption occurs

in the system. The company should also learn and adapt from every uncertainty situation. It is

necessary that a company identify its risks and determine the most critical vulnerabilities to

improve its performance. Fig. 2 illustrates how the supply chain can be disrupted for different

vulnerabilities generating a “breakdown” point, which will cause a scenario of turbulence and

uncertainty. The recovery time for a company to return to its original shape is a critical factor. It

will depend in how quick (readiness) they react (responsiveness) to solve the problem.

Figure 2.2: Disruptions in the Supply Chain and Resilience

Page 21: Risk Mitigation in the Supply Chain Caused by Multitple

8

2.2.2 Capabilities and vulnerabilities of the supply chain

The capabilities are attributes that a firm may develop in order to be resilient. Improving or

developing a capability may represent cost investment but also the reduction of vulnerabilities in

the Supply Chain; therefore it is important to establish a balance point according to the company

needs to be cost-effective [5].

Velocity: Related with the time it will take to a firm to send the final product to the

customer or end user, also known as lead time. This metric could be measure and compare

against the real delivery time.

Recovery: Measure as the time it takes to a company to return to a normal operational

state. This metric is considered as critical when high impact vulnerability may occur.

Capacity: This capability is directly related with the production capacity to meet all the

requirements, including not only the labor rate per hour but also utilities available in the

plant for production.

Adaptability: This capability is related to modify the organization environment, but alto to

adapt to the new coming technologies and prevent from producing obsolete products.

Flexibility: It is related with the capacity that a company develop to modify operational

methods including sourcing and manufacture in order to meet the new customer order

requirements.

Visibility: Related with monitoring and knowing the operational status of all assets used

in the company.

Vulnerabilities in the Supply Chain will affect one or more capabilities. Here comes the

importance of having a “quick response” or resilience. It is fundamental to a firm to know how

Page 22: Risk Mitigation in the Supply Chain Caused by Multitple

9

the chain will be affected and identify which capability will be the one that will help to improve

its performance according to the company needs.

2.2.2 Optimum point between flexibility and resilience

The fit point also known as “optimum point” [5] is the perfect balance between an

efficient supply chain and resilience. The supply chain strategy and resilience level must be

aligned with the Company goals; always considering a cost-effective effort. Part or reaching this

fit point is by making sure that the firm understand their supply chain, customer market, perform

a risk analysis and has identify their capabilities and selecting the most important that will

improve their service for future scenarios. However there will some obstacles that make the

supply chain more complex and it will be harder to reach an optimal point.

Include increasing variety of products, since every time is getting more frequently

receiving customization requests from customers. Some companies use mass customization

strategy to offer a flexible option. Having a huge variety of different products generate a more

complex supply chain and therefore the uncertainty for predicting future demand will increase;

affecting both resilience and efficient supply chain.

Decreasing products life cycle, with new upcoming technologies, products life cycle are

decreasing, which will affect the supply chain if companies don’t know how to react. There is

important that a company measure their products life cycle and get ready for the new products

introduction to successfully offer innovation and also an efficient and resilient service.

Customers increase product requirements and expectations. Some of the product

requirements that are constantly increasing are related with lead time, final cost and product

Page 23: Risk Mitigation in the Supply Chain Caused by Multitple

10

performance. For that reason companies needs to create an innovative strategy to remain

competitive in the market and have loyalty customers.

Globalization, even though it brings a lot of advantages to a company like to offer cheaper

goods all around the world, it also create a more complex supply chain to coordinate, for this

kind of situations a good communication in the chain allows to have a more efficient processes,

having a strong ERP system may be better option to deal with it.

2.3 Product life cycle

Product life cycle refers to sequence of stages of a product through the time which are

associated with significant changes in their sales [4]. The first stage also known as market

development or introduction occurs when the product has just been launched and the customer is

getting aware of it, there are generally lower or zero profit. Second stage is known as growth or

takeoff and sales start to increase faster. Third stage is maturity in which the sales are stable and

customer demand can be predictable, sales increase slower and market competition increase. The

last stage is known as decline in which product losses its appeal, sales start to fall and therefore

production may stop in the future.

2.4 Engineering design changes

Engineering design changes are part of a strategy to remain competitive in the market, by

improving product’s performance and increasing total revenue and can be triggered at any point

of the product lifecycle [9]. However there is risk associated with the Supply Chain if the

transaction between components is not successful. Dealing with design changes can generate

conflicts related with information flow, manufacturing issues, approvals and payments until the

change is fully incorporated [3][10][11].

Page 24: Risk Mitigation in the Supply Chain Caused by Multitple

11

Some of the reasons why a product has an engineering design change could be related

with improving the product performance, cost reduction due to a cheaper material, change to

enhance durability or changes to improve maintainability [9]. When a product is getting a design

change, the supply chain has to deal with the new component introduction (Phase In) and use up

or take the decision to disposal the obsolete one (Phase out), making changes in their ERP

system [13].

2.5 Deterministic models for inventory management

A deterministic model for inventory management allows a company to evaluate and

determine when and how much material needs to be order from every supplier to fulfill customer

demand [12]. There are two main models used for inventory management that will be helpful for

this research project, basic economic order quantity (EOQ) and production order quantity (POQ).

There are some assumptions that need to be considered when selecting a model. For EOQ

it is important to consider that demand has to be known, constant and independent; lead time is

also known and constant; also receipts of inventory is instantaneous and complete [12].

Nomenclature for EOQ model is as follows: For setting the optimal order quantity, Q = Number

of pieces per order, Q* = Optimal number of pieces per order (EOQ), D = Annual demand in

units for the inventory item, S = Setup or ordering cost for each order and H = Holding or

carrying cost per unit per year. For setting the reorder point, d = Demand per day, L= lead time

for a new order in days.

(1)

Page 25: Risk Mitigation in the Supply Chain Caused by Multitple

12

(2)

(3)

Figure 2.3: EOQ Model Example [12]

For the POQ model it has to be considered that is used when inventory builds up over a

period of time after an order is placed and when units are produced and sold simultaneously [12].

Nomenclature used for setting the optimal order quantity will be Q = Number of pieces per order,

p = Daily production rate, H = Holding cost per unit per year, d = Daily demand/usage

rate and t = Length of the production run in days. ROP can be calculated using the same formula

as in the EOQ model.

(4)

Page 26: Risk Mitigation in the Supply Chain Caused by Multitple

13

Figure 2.4: POQ Model Example [12]

2.6 Computer Simulation

Computer Simulation allows to imitate the operations of a real system and its internal

processes and to perform numerical experiments to understand, evaluate and predict a system’s

behavior. [7][8]. Simulations may be stochastic or deterministic; where stochastic simulation is

characterized by a factor of randomness and therefore the system will have variation in its

processes, while deterministic simulations have no variation in their systems. There are two types

of simulation discrete and continuous which refers to the changing nature of the states within the

system; for discrete simulation, states changes at event times (e.g. length of a queue), while

continuous can change continuously over time (e.g. temperature in an oven).

2.7 Probability distribution function

When modeling a system into a computer simulation software it is needed to generated

random numbers, for this different probability distribution functions can be used. For this

research project different probability distributions were selected, which will be explained into

detail the main use specifically when there is not access to raw data. Poisson is a discrete

distribution which is used to model the number of random events occurring in a fixed interval of

time also to model random batch sizes; the parameter of this distribution is the value of the mean

(λ). Triangular distribution is commonly used when the exact form of is not known, instead of

Page 27: Risk Mitigation in the Supply Chain Caused by Multitple

14

that estimated data for selecting a minimum (a) , most likely (m) and maximum (b) values. The

mean of this distribution is calculated by the average value of the factors ([a + m + b]/3).

Exponential distribution is used to model inter-events times in random arrival and breakdown

processes and is recommended for service applications; the parameter of this distribution is the

value of the mean (β) [7][8].

Page 28: Risk Mitigation in the Supply Chain Caused by Multitple

15

CHAPTER 3

METHODOLOGY

This chapter covers the problem approach and a detail explanation of the logic used to

evaluate the system of interest. Section 3.1 describes the problem description of the Supply Chain

when dealing with design changes. Section 3.2 provides a case study. Section 3.3 covers the first

scenario for a supply chain system under normal conditions. Section 3.4 analyzes the same

system when dealing with multiple engineering design changes. Section 3.5 reviews a system

using EOQ for inventory management when dealing with multiple engineering design changes.

Section 3.6 shows a system using POQ for inventory management when dealing with multiple

engineering design changes. Section 3.7 illustrates the 3D animation of the model. Section 3.8

provides the model validation.

3.1 General problem description

A hypothetical case study based on 3M factory located in Ciudad Juarez will be used to

evaluate phase in and phase out components transitions in the Supply Chain using different

deterministic inventory management techniques to determinate which would be the optimal

approach when dealing with this scenarios.

Fig. 3.1 shows a general Supply Chain diagram under normal conditions, in which every

tier would have their own process which will be similar from tier to tier until the final product is

delivered to the customer. This include raw material arrival, storing material in warehouse, when

an order is received the batch order will be send to production area, then processing and quality

inspection, batching complete order in warehouse and transportation of the order to the customer

(which could be another tier supplier, OEM or final customer).

Page 29: Risk Mitigation in the Supply Chain Caused by Multitple

16

Figure 3.1: Supply Chain diagram under normal conditions

Fig 3.2 shows a Supply Chain diagram when dealing with engineering design changes

(phase in and phase out components transition), in which the process will be altered due to new

requirements requested by the customer, it is the OEM’s responsibility to inform the previous

tier about it. All the tiers affected by this new change of component will have to deal with two

BOMs or one BOM with both components until they use up the obsolete component (phase out).

They will have to validate the new process when introducing the new component (phase in) and

therefore they will have a curved learned process, which will become stable when the company

gain experience.

Page 30: Risk Mitigation in the Supply Chain Caused by Multitple

17

Figure 3.2: Supply Chain diagram when dealing with phase in and phase out components

When introducing a new component into the Supply Chain, the OEM needs to use up the

obsolete component and update the information into their ERP system in order to avoid mistakes

of ordering the wrong one. Fig 3.3 shows the steps that have to be done when performing a phase

in and phase out components transition. This process is triggered by a new component

requirement, when the OEM gets this information they need to let know the supplier (previous

tier in the chain) that the component requirement has changed. After that the OEM need to check

how much inventory of the obsolete component (phase out) is available in house and with the

supplier, if there is not material available with any of them, then the component transition is

complete and the BOM is updated with the new component (phase in). If there is material

available either in house or with the supplier, then a new BOM of material needs to be created for

the new component (Or the original BOM needs to be changed by adding the two components

[13] indicating that one will be phase out of the system) and higher priority will be assigned to

the old component and used it in the production floor, when the material is use up the phase out

component must be removed from the BOM.

Page 31: Risk Mitigation in the Supply Chain Caused by Multitple

18

Figure 3.3: Phase in and Phase out components transition

3.2 Case study: Evaluating Phase in and Phase out Components transition in the SC

A product “X” will be processes in a two tier supplier’s level system. This product to be

assembled requires three different components named “1”, “2” and “3”, where they will have

three, four and two design changes respectively during the simulation (120 hours). In order to

manufacture the final product it will be needed one unit of component 1, two units of component

2 and one unit of component 3. We’ll have three different suppliers, one for each component; it is

going to be assumed that for every design change we will keep the same supplier.

Orders batch size will be following a Poisson distribution with different mean (λ) for each

supplier and OEM and will be place every hour. Raw material will be arriving constantly to the

suppliers to make sure they will be able to produce orders requested by OEM. Every supplier will

have different safety stocks limits, meaning that when they reach this limit they will stop ordering

raw material until safety stock drops to reorder point again. In similar case OEM will have a

safety stock limit which will be different for every component that they received, when reaching

Page 32: Risk Mitigation in the Supply Chain Caused by Multitple

19

this point, orders to suppliers will stop until the inventory available drops to the reorder point

again.

When a new component design change is requested, the supplier will have to give a

higher priority to the component they wish to phase out. This design change will increase the

processing time and quality inspection (Since there will be a curved learning process) until the

supplier gains “experience” with the new one; which will be measure in number of parts

processed. When an order is complete it will be send to the OEM which will produce the product

“X” and will send it to the final customer.

Assume that the cost per order are $25, $30 and $20 and the cost per holding a unit in

warehouse are $0.7, $0.25 and $0.5 respectively for supplier 1, 2 and 3. Assume the company

earns $150 per order delivered to the final customer. Also assume a cost rate of $10 per hour for

manufacturing process.

Compare different inventory management scenarios with the SC under normal conditions

and when dealing with changes, evaluate the impact in total revenue at the end of the simulation

period, including lead time, total number of completed orders and total cost.

3.3 Modeling continuous orders to suppliers under normal conditions

The first scenario comparison would assumed continuous orders are requested to the

supplier every period of time until a safety stock limit is reached for a supply chain under normal

conditions, meaning that there won’t be engineering design changes (phase in and phase out

components). The most important parts to build the simulation model will be explained in detail.

Page 33: Risk Mitigation in the Supply Chain Caused by Multitple

20

3.3.1 Orders and raw material arrivals

When the OEM received a customer order they will request material (component 1, 2 and

3) to every supplier (1, 2 and 3) every hour until they reach their safety stock limit. It can be seen

in fig 3.4 that a state variable was created assigning a Poisson distribution with a mean value (λ);

since the batch order will be different for every supplier a different λ value will be assigned.

When the supplier received the OEM’s order, they will also request raw material which will be a

constant value per hour and they will have their own safety stock limit.

Figure 3.4: Orders Arrival from OEM to Supplier

3.3.2 Controlling maximum inventory

The OEM will have a safety stock value limit, which will be consider using the material

available at the time in warehouse (not considering material batched to the shop floor), when the

limit is reached an add-on process will be triggered. As can be seen in fig. 3.5 once the limit

value has been reach an event will be launched named “Stop ordering C1” this action will stop

the entities named “orders” for component 1 and therefore the supplier will stop ordering and

processing material that will not be needed.

Page 34: Risk Mitigation in the Supply Chain Caused by Multitple

21

Figure 3.5: Controlling orders requested to Suppliers

3.3.3 Supplier’s processing and quality inspection

Once the material is in the shop floor the next step is to manufacture the component, in

which it will be assigned a processing time (See fig. 3.6) and a quality inspection time. In order

to assign different processing times to every component and supplier a table was created and

linked in the entity arrival and process logic.

Figure 3.6: Assigning processing times to different components

Page 35: Risk Mitigation in the Supply Chain Caused by Multitple

22

3.3.4 Transportation and travel logic

When the order is complete the supplier has to send it to the customer. Fig 3.7 shows that

in order to complete this step it will necessary to use a resource for transportation process in

which we set up the capacity of the vehicle, how many are available and also we set up

transportation time to deliver the product and returning back to the facility.

Figure 3.7: Transport and travel logic

3.3.5 Model with continuous orders

Fig. 3.8 shows a comparison between the supply chain general diagram and the simulation

logic for Supplier 1. This process has to be repeated for Supplier 2, Supplier 3 and OEM with the

corresponding data to complete the scenario for continuous orders with no changes.

Page 36: Risk Mitigation in the Supply Chain Caused by Multitple

23

Figure 3.8: Supplier logic with no design changes

3.4 Modeling continuous orders to suppliers when dealing with design changes

For this scenario some parts would remain the same as in the previous model like

assumption for continuous orders to the supplier and safety stock limit data, nevertheless this

model will be dealing with multiple engineering design changes (phase in and phase out

component transition) altering total lead time. The most important parts to build the simulation

model that have changed with respect the previous scenario will be explained in detail.

3.4.1 Orders and raw material arrivals when dealing with changes

In the case study it was established that during the simulation period it was expected

certain number of changes for every component. In order to know the value of time in which the

components will have a design change we need to use the equation 5 (Mean Time Between

Page 37: Risk Mitigation in the Supply Chain Caused by Multitple

24

Changes). This means that when the OEM received a customer order and request material (e.g.

Component 1) depending on the value of time is the material they will request (e. g. Component

1a).

(5)

To assign the “t” values to every component the entity arrival logic will be modified to

every source and their respective changes during simulation (Fig. 3.9) it can be seen that

component 1 will be order from time 0 to time 40 in hours and component 1a will be order from

time 41 to time 80 in hours as well. Mean value for material orders will be following a Poisson

distribution having the same value that in the previous scenario and valid for all the changes,

finally safety stock limit will remain the same, considering total of all inventory available at the

time (e.g. Comp 1 plus Comp 1a) in warehouse.

Figure 3.9: Orders Arrival from OEM to Supplier when dealing with changes

Page 38: Risk Mitigation in the Supply Chain Caused by Multitple

25

3.4.2 Supplier’s processing and quality inspection when dealing with changes

When a system is dealing with changes there will be different processing and quality

inspection times for the same supplier, this happens because when a new component is

introduced the process needs to be revalidated and people need to be retrained, therefore when

processing the phase in component for the first time there will be an increment in the total

production time and this increment (Δj) will be equal to zero when the supplier gains enough

experience with the new one. Nomenclature for Total production time for i (TTi) which represent

the phase out component and Total production time for j (TTj) which represent the phase in are as

follows; Ti = Production time for component i (PO), Tj = Production time for component j (PI),

Qai = Quality inspection for I and Qaj = Quality inspection for j.

TTi= Ti+Qai (6)

TTj = Tj+Qaj (7)

Qaj = Qai + Δj (8)

Tj = Ti + Δj (9)

In order to assign different processing times and create a curved leaning process to every

component and supplier, a table, rate table and an add-on process were created and linked in the

entity arrival and process logic. As can be seen in Fig 3.10 original components are considered as

the based e.g. component 1 and the new versions e.g. component 1a and 1b are the ones that will

be affected by an increment which will decrease after certain number of produced units, this

example shows that when the supplier manufacture a total of 500 pieces, which will be measure

by a variable in the add-on process; they will reach an stable process which will be similar as the

Page 39: Risk Mitigation in the Supply Chain Caused by Multitple

26

phase out (component 1). Fig. 3.11 shows a graphical representation of the efficiency of the

process when dealing with curved learning process.

Figure 3.10: Processing time table, rate table and add-on process

Figure 3.11: Efficiency of the process when introducing a phase in component

0

0.2

0.4

0.6

0.8

1

1.2

0 100 200 300 400 500 600

Pro

cess

Eff

icie

ncy

Number of pieces

Curved Learn Process

Page 40: Risk Mitigation in the Supply Chain Caused by Multitple

27

3.4.3 Model with continuous orders to suppliers when dealing with changes

Fig. 3.12 shows a comparison between the supply chain when dealing with engineering

design changes and how the simulation logic for Supplier 1 should be modify with respect to the

previous model. This process has to be repeated in a similar way for Supplier 2, Supplier 3 and

OEM with the corresponding data.

Figure 3.12: Supplier logic with design changes

3.5 Modeling EOQ to request material when dealing with design changes

This scenario analyzes a system when the supply chain is dealing with multiple

engineering design changes, using EOQ deterministic model for inventory management control

and to evaluate possible risk mitigation regarding with lead time and total cost. The most

important parts to build the simulation model that have changed with respect the previous

scenario will be explained in detail.

Page 41: Risk Mitigation in the Supply Chain Caused by Multitple

28

3.5.1 Orders and raw material arrivals using EOQ model

For this scenario MTBCj will be the same, however in order to implement EOQ model it

is important to define the optimal order quantity (Q*) and ROP optimal value for every supplier

using equations 1, 2 and 3. This model considers annual demand and cost for ordering and

holding inventory. Fig 3.13 shows a diagram for add on process logic for creating orders to

suppliers considering Q* as safety stock limit in warehouse.

Figure 3.13: Requesting material to supplier using EOQ model

3.6 Modeling POQ to request material when dealing with design changes

This scenario analyzes a system when the supply chain is dealing with multiple

engineering design changes, using POQ deterministic model for inventory management control

and to evaluate possible risk mitigation regarding with lead time and total cost. The most

important parts to build the simulation model that have changed with respect the previous

scenario will be explained in detail.

Page 42: Risk Mitigation in the Supply Chain Caused by Multitple

29

3.6.1 Orders and raw material arrivals using POQ model

For this scenario MTBCj will be the same, however in order to implement POQ model it

is important to define the optimal order quantity (Qp*) and ROP optimal value for every supplier

using equation 4 and data given by the case study. This model considers annual and daily

demand, production daily rate and cost for ordering and holding inventory. Fig 3.14 shows a

diagram for add on process logic for creating orders to suppliers considering Qp* as safety stock

limit in warehouse.

Figure 3.14: Requesting material to supplier using POQ model

3.7 Model 3D animation

When the model’s logic is complete, the next step is to perform a 3D animation of the

system, which allows the user to have a more visual way to determinate if the logic is correct and

performing what is needed. Figure 3.15 shows a complete simulation of a two tier level system in

which we have three suppliers, OEM and final customer including from raw material until

delivery of the product. Figure 3.16 shows in detail the supplier’s manufacturing line;

transportation of the component orders to OEM; status label to visualize material available for a

specific component in the system and OEM’s production line.

Page 43: Risk Mitigation in the Supply Chain Caused by Multitple

30

Figure 3.15: Two tiers Supply Chain level simulation

Figure 3.16: Detail view of two tiers Supply Chain level simulation

3.8 Model validation

A simulation model can normally be validated by comparing the output results with the

real system, for this research project a case study was performed to create a model for

engineering design changes behavior, even though this model cannot be compared it can be

validated by testing different time lengths against the output values, in this case the average

Page 44: Risk Mitigation in the Supply Chain Caused by Multitple

31

waiting units will be considered, if the model shows a similar values that means the system

model is stable and reliable [8]. Three different stations were evaluated generating the following

results, Fig. 3.17 shows a graphical output comparison for the average number waiting units in

warehouse, it can be seen that the range of units is 164 to 188 at 95% confidence level. Fig. 3.18

shows the average number waiting for the processing station, it can be seen that the range of units

is 2.385 to 2.567 at 95% confidence level. Finally Fig. 3.19 shows the average number waiting

for quality inspection, with a range of .5107 to .5512 units at 95% confidence level. It can be

conclude that the system has a stable and reliable output results.

Figure 3.17: Average number waiting units in warehouse

0

50

100

150

200

250

300

350

400

160 165 170 175 180 185 190

Sim

ula

tio

n T

ime

(h

ou

rs)

Number of units

Avg number waiting in warehouse

Page 45: Risk Mitigation in the Supply Chain Caused by Multitple

32

Figure 3.18: Average number waiting units for processing

Figure 3.19: Average number waiting units for quality inspection

The system performance was validated to make sure the model perform a successful

transition of components when dealing with changes. Fig 3.20 shows transition between

component 1 and component 1a which is taking place after the time set of 40 hours, the gap in

time (14.18 hours) means the time it takes to introduce the new component into the production

line given higher priority to the obsolete component.

0

50

100

150

200

250

300

350

400

2.350 2.400 2.450 2.500 2.550 2.600

Sim

ula

tio

n T

ime

(h

ou

rs)

Number of units

Avg number waiting for processing

0

50

100

150

200

250

300

350

400

0.5 0.51 0.52 0.53 0.54 0.55 0.56

Sim

ula

tio

n T

ime

(h

rs)

Number of units

Avg number waiting for quality inspection

Page 46: Risk Mitigation in the Supply Chain Caused by Multitple

33

Figure 3.20: Phase in and phase out components transition

Higher priority is given to the old

component (comp1)

Transition completed and new component

(comp1a) sent to production at time

54.18hr

Page 47: Risk Mitigation in the Supply Chain Caused by Multitple

34

CHAPTER 4

COMPUTATIONAL RESULTS

This chapter covers obtained results for the different scenarios evaluated in chapter 3,

considering the most critical output data that allow a company to take a decision regarding

inventory management when dealing with multiple phase-in and phase-out component transitions

in order to mitigate risks in the Supply Chain.

4.1 Simulation Results

When the simulation was completed, 10 replications were performed using the

Experiment tool of Simio, considering a warm-up period of 5 hours. Table 1 shows the

comparative results between different scenarios, taking as a base the first scenario: continuous

orders under normal conditions, it can be seen that at the end of the simulation period 91.5 orders

in average were delivered to the final customer and $4,238.92 for total revenue. For the second

scenario: continuous orders when dealing with multiple phase in and phase out components

transition, it can be seen that the total of complete orders were 80.2 which represent a decrease of

12.34% and $2,428.00 for total revenue, which represents a decrease of 42.72% which means that

the company not only is delivering less product but also spending more regarding inventory

management.

For the third scenario EOQ model dealing with multiple phase in and phase out

components a total of 85.1 orders were delivered to the final customer which represent a better

scenario than the second scenario increasing service delivery by 6.10% and $4,626.70 for total

revenue which represent an increment of 90.55% and an increment 9.14% with respect the first

scenario, that means that even when they are producing a little less in average, they are spending

less to which at the end generate more revenue to the company. For the fourth scenario POQ

model the report showed a total of 50.2 orders delivered to the customer, representing a 37.4%

Page 48: Risk Mitigation in the Supply Chain Caused by Multitple

35

decrease compare with the second scenario and 45.13% decrease with the first scenario. Total

revenue was $2,097.58, which represent a 13.6% of decrease with respect the second scenario

and 50.51% decrease with the first scenario.

For this specific case study scenario 3 was the best option when dealing with multiple

phase in and phase out components transition, in which the EOQ method was used to optimize

inventory management by reducing cost and improving lead time by having the right amount of

material when it was needed this also allows to improve total revenue.

Table 4.1: Comparison results for all different scenarios

Page 49: Risk Mitigation in the Supply Chain Caused by Multitple

36

CHAPTER 5

CONCLUSION

This thesis topic had as objective to compare different inventory management models in

the Supply Chain specifically in products that are affected by engineering design changes that

must deal with multiple ‘phase in and phase out components’ transition evaluating a case study.

This research project compared four different scenarios, taking the first scenario as a base in

which a supply chain model under normal conditions with continuous orders was evaluated,

another for a chain dealing with design changes with continuous orders to suppliers, third

scenario for design changes using EOQ model and finally fourth scenario for design changes

using POQ model to request material to suppliers.

Final output results showed that for this specific case study, model three was the optimal

scenario when dealing with engineering design changes by improving material flow, reducing

lead time in 5.76%, increasing service in 6.10%, increasing total revenue for the company

90.55% with respect the second scenario and 9.14% with respect the first scenario. Some other

recommendation when dealing with engineering design changes is to control and revalidate the

process that will be affected before introducing the phase in component, in order to reduce the

curve learning process when replacing an item in the manufacturing line. Another

recommendation when dealing with this kind of process is to expedite orders if the promise date

is close in order to avoid a potential customer loss.

It is important to consider that every supply chain and project complexity would be

different and therefore all the factors involve must be taken into consideration when dealing with

engineering design changes, also creating the strategy before the components are introduce to be

prepared for every kind of scenario and avoid any possible risk disruption.

Page 50: Risk Mitigation in the Supply Chain Caused by Multitple

37

LIST OF REFERENCES

[1] S. Chopra and P. Meindl, Supply Chain Management: Strategy, Planning and Operation,

Third Edition, 2007

[2] A. Surana et al, “Supply Chain networks: a complex adaptive system perspective,” in

Industrial Engineering and Engineering Management, Singapore, Singapore, 2005

[3] C. R. Hallam. “Lean Supply Chain Management Techniques for Complex Aerospace System:

Using Discrete Event Simulation to Mitigate Programmatic Cost and Schedule Risk,” in

the University of Texas at San Antonio

[4] T. Levitt, “Exploit the Product Life Cycle,” in Harvard Business Review.

[5] GE Capital in collaboration with Fisher college of business, “The resilient Supply Chain:

Competing on the ability to come back from disaster”

[6] P Trucco and D. Ward, “A clustering approach to the operational resilience analysis of key

resource supply chain (KRSC): the case of fast moving consumer goods,” in Department

of management, Economics and Industrial Engineering, Milan Italy

[7] David Kelton, Randall P. Sadowski, Nancy B. Zupick, Simulation with ARENA, Sixth

Edition, McGraw-Hill, (2015).

[8] David Kelton, Jeffrey Smith, David Sturrock. Simio and simulation: Modeling, Analysis,

application. Third edition

[9] Saeema Ahmed and Yethish Kanike, “Engineering change during a product’s lifecycle,” in

International Conference in Engineering Design, Paris, France, 2007.

Page 51: Risk Mitigation in the Supply Chain Caused by Multitple

38

[10] S. A. Ahmadinejad and A. Afshar, “Management of Change propagation in mechatronic

product design based on minimum cost of changes”, University of Applied Sciences and

Technology, Khorram abad, Iran.

[11] Hajo Reijers et. al, “Changing products, changing processes: Dealing with small updates in

product-based design”, Eindhoven University of Technology, the Netherlands.

[12] Jeff E. Heyl, Jon Bushnell, Linda Stone, Cases in operations management, First edition.

[13] Oracle, Understanding People Soft Bills of Material and Routing (PeopleBook) [Online].

Available:

http://docs.oracle.com/cd/E16365_01/fscm91pbr0/eng/psbooks/smfg/chapter.htm?File=s

mfg/htm/smfg10.htm

Page 52: Risk Mitigation in the Supply Chain Caused by Multitple

39

APPENDIX A

Output data from SIMIO

Project: Supply_No_Changes_Continuous_Orders

Analyst name: Anabel Renteria Marquez

Obj.

Type

Obj.

Name

Data

Source

Cat. Data

Item

Statisti

c Type

Avg Min Max Half

Width

Comb

iner

Batch1

_2

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

10.9018 10.5595 11.2070 0.1483

Comb

iner

Batch1

_2

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 1367.8 1318 1400 18.6279

Comb

iner

Batch1

_2

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Comb

iner

Batch1

_2

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Comb

iner

Batch1

_2

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Comb

iner

Batch1

_2

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.1090 0.1056 0.1121 0.0015

Comb

iner

Batch1

_2

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Comb

iner

Batch1

_2

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Comb

iner

Batch1

_2

[Resou

rce]

Resourc

eState

TimePro

cessing

Avg

(Hrs)

0.1103 0.0950 0.1464 0.0119

Comb

iner

Batch1

_2

[Resou

rce]

Resourc

eState

TimePro

cessing

Occurr

ences

115.8 84 133 11.1979

Comb

iner

Batch1

_2

[Resou

rce]

Resourc

eState

TimePro

cessing

Percen

t

10.9018 10.5595 11.2070 0.1483

Comb

iner

Batch1

_2

[Resou

rce]

Resourc

eState

TimePro

cessing

Total

(Hours

)

12.5370 12.1434 12.8881 0.1706

Page 53: Risk Mitigation in the Supply Chain Caused by Multitple

40

Comb

iner

Batch1

_2

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

0.8977 0.7755 1.2083 0.0973

Comb

iner

Batch1

_2

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

116.2 85 132 10.9203

Comb

iner

Batch1

_2

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

89.0982 88.7930 89.4405 0.1483

Comb

iner

Batch1

_2

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

102.463

0

102.111

9

102.856

6

0.1706

Comb

iner

Batch1

_2

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Avg 24.8716 0.5905 65.1933 15.1991

Comb

iner

Batch1

_2

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Max 96.2 11 200 37.3345

Comb

iner

Batch1

_2

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Min 0 0 0 0

Comb

iner

Batch1

_2

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Avg

(Hrs)

1.0030 0.0258 2.5555 0.5983

Comb

iner

Batch1

_2

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Max

(Hrs)

4.0192 1.1293 7.5446 1.3281

Comb

iner

Batch1

_2

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Comb

iner

Batch1

_2

Memb

erInpu

tBuffe

r

Through

put

Number

Entered

Total 2785.7 2635 2867 54.8112

Page 54: Risk Mitigation in the Supply Chain Caused by Multitple

41

Comb

iner

Batch1

_2

Memb

erInpu

tBuffe

r

Through

put

Number

Exited

Total 2736.2 2640 2796 35.6823

Comb

iner

Batch1

_2

Output

Buffer

Through

put

Number

Entered

Total 1367.6 1317 1401 18.9619

Comb

iner

Batch1

_2

Output

Buffer

Through

put

Number

Exited

Total 1367.6 1317 1401 18.9619

Comb

iner

Batch1

_2

Parent

InputB

uffer

Content Number

InStatio

n

Avg 13.6391 0.9656 63.9440 13.7955

Comb

iner

Batch1

_2

Parent

InputB

uffer

Content Number

InStatio

n

Max 47.3 25 115 20.4529

Comb

iner

Batch1

_2

Parent

InputB

uffer

Content Number

InStatio

n

Min 0 0 0 0

Comb

iner

Batch1

_2

Parent

InputB

uffer

Holding

Time

TimeInS

tation

Avg

(Hrs)

1.1253 0.0857 5.2953 1.1408

Comb

iner

Batch1

_2

Parent

InputB

uffer

Holding

Time

TimeInS

tation

Max

(Hrs)

3.6661 1.2997 9.6146 1.7891

Comb

iner

Batch1

_2

Parent

InputB

uffer

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Comb

iner

Batch1

_2

Parent

InputB

uffer

Through

put

Number

Entered

Total 1385.9 1339 1423 18.6482

Comb

iner

Batch1

_2

Parent

InputB

uffer

Through

put

Number

Exited

Total 1367.8 1318 1400 18.6279

Comb

iner

Batch1

_2

Proces

sing

Content Number

InStatio

n

Avg 0.1090 0.1056 0.1121 0.0015

Page 55: Risk Mitigation in the Supply Chain Caused by Multitple

42

Comb

iner

Batch1

_2

Proces

sing

Content Number

InStatio

n

Max 1 1 1 0

Comb

iner

Batch1

_2

Proces

sing

Content Number

InStatio

n

Min 0 0 0 0

Comb

iner

Batch1

_2

Proces

sing

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0092 0.0091 0.0092 0.0000

Comb

iner

Batch1

_2

Proces

sing

Holding

Time

TimeInS

tation

Max

(Hrs)

0.0116 0.0115 0.0117 0.0000

Comb

iner

Batch1

_2

Proces

sing

Holding

Time

TimeInS

tation

Min

(Hrs)

0.0068 0.0067 0.0068 0.0000

Comb

iner

Batch1

_2

Proces

sing

Through

put

Number

Entered

Total 1367.8 1318 1400 18.6279

Comb

iner

Batch1

_2

Proces

sing

Through

put

Number

Exited

Total 1367.6 1317 1401 18.9619

Comb

iner

Batch3 [Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

4.2964 4.1292 4.4095 0.0630

Comb

iner

Batch3 [Resou

rce]

Capacit

y

UnitsAll

ocated

Total 1367.6 1318 1401 18.7720

Comb

iner

Batch3 [Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Comb

iner

Batch3 [Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Comb

iner

Batch3 [Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Comb

iner

Batch3 [Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.0430 0.0413 0.0441 0.0006

Comb

iner

Batch3 [Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Comb

iner

Batch3 [Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Page 56: Risk Mitigation in the Supply Chain Caused by Multitple

43

Comb

iner

Batch3 [Resou

rce]

Resourc

eState

TimePro

cessing

Avg

(Hrs)

0.0036 0.0036 0.0036 0.0000

Comb

iner

Batch3 [Resou

rce]

Resourc

eState

TimePro

cessing

Occurr

ences

1367.8 1318 1402 18.8101

Comb

iner

Batch3 [Resou

rce]

Resourc

eState

TimePro

cessing

Percen

t

4.2964 4.1292 4.4095 0.0630

Comb

iner

Batch3 [Resou

rce]

Resourc

eState

TimePro

cessing

Total

(Hours

)

4.9408 4.7486 5.0709 0.0724

Comb

iner

Batch3 [Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

0.0805 0.0784 0.0837 0.0012

Comb

iner

Batch3 [Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

1368.3 1318 1402 19.0093

Comb

iner

Batch3 [Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

95.7036 95.5905 95.8708 0.0630

Comb

iner

Batch3 [Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

110.059

2

109.929

1

110.251

4

0.0724

Comb

iner

Batch3 Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Avg 82.0185 79.3504 86.3094 1.9128

Comb

iner

Batch3 Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Max 125 116 143 6.0789

Comb

iner

Batch3 Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Min 6.6 2 17 3.4421

Comb

iner

Batch3 Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Avg

(Hrs)

6.6448 6.2531 7.3152 0.2552

Comb Batch3 Memb

erInpu

Holding TimeInS Max 10.8181 9.7818 11.7777 0.5021

Page 57: Risk Mitigation in the Supply Chain Caused by Multitple

44

iner tBuffe

r

Time tation (Hrs)

Comb

iner

Batch3 Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Min

(Hrs)

0.6139 0.0695 1.0776 0.2605

Comb

iner

Batch3 Memb

erInpu

tBuffe

r

Through

put

Number

Entered

Total 1438.7 1396 1464 15.0500

Comb

iner

Batch3 Memb

erInpu

tBuffe

r

Through

put

Number

Exited

Total 1367.6 1318 1401 18.7720

Comb

iner

Batch3 Output

Buffer

Through

put

Number

Entered

Total 1367.5 1317 1402 19.0458

Comb

iner

Batch3 Output

Buffer

Through

put

Number

Exited

Total 1367.5 1317 1402 19.0458

Comb

iner

Batch3 Parent

InputB

uffer

Through

put

Number

Entered

Total 1367.6 1318 1401 18.7720

Comb

iner

Batch3 Parent

InputB

uffer

Through

put

Number

Exited

Total 1367.6 1318 1401 18.7720

Comb

iner

Batch3 Proces

sing

Content Number

InStatio

n

Avg 0.0430 0.0413 0.0441 0.0006

Comb

iner

Batch3 Proces

sing

Content Number

InStatio

n

Max 1 1 1 0

Comb

iner

Batch3 Proces

sing

Content Number

InStatio

n

Min 0 0 0 0

Comb

iner

Batch3 Proces

sing

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0036 0.0036 0.0036 0.0000

Page 58: Risk Mitigation in the Supply Chain Caused by Multitple

45

Comb

iner

Batch3 Proces

sing

Holding

Time

TimeInS

tation

Max

(Hrs)

0.0050 0.0049 0.0050 0.0000

Comb

iner

Batch3 Proces

sing

Holding

Time

TimeInS

tation

Min

(Hrs)

0.0025 0.0025 0.0026 0.0000

Comb

iner

Batch3 Proces

sing

Through

put

Number

Entered

Total 1367.6 1318 1401 18.7720

Comb

iner

Batch3 Proces

sing

Through

put

Number

Exited

Total 1367.5 1317 1402 19.0458

Comb

iner

C1_to_

OEM

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

0 0 0 0

Comb

iner

C1_to_

OEM

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 115 115 115 0

Comb

iner

C1_to_

OEM

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Comb

iner

C1_to_

OEM

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Comb

iner

C1_to_

OEM

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Comb

iner

C1_to_

OEM

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0 0 0 0

Comb

iner

C1_to_

OEM

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Comb

iner

C1_to_

OEM

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Comb

iner

C1_to_

OEM

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

115 115 115 0

Comb

iner

C1_to_

OEM

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

1 1 1 0

Comb

iner

C1_to_

OEM

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

100 100 100 0

Comb

iner

C1_to_

OEM

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

115 115 115 0

Page 59: Risk Mitigation in the Supply Chain Caused by Multitple

46

)

Comb

iner

C1_to_

OEM

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Avg 2.7701 2.6298 2.9337 0.0760

Comb

iner

C1_to_

OEM

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Max 21.8 20 25 1.3821

Comb

iner

C1_to_

OEM

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Min 0 0 0 0

Comb

iner

C1_to_

OEM

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.2303 0.2199 0.2394 0.0044

Comb

iner

C1_to_

OEM

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Max

(Hrs)

0.9145 0.8253 1.0719 0.0608

Comb

iner

C1_to_

OEM

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Comb

iner

C1_to_

OEM

Memb

erInpu

tBuffe

r

Through

put

Number

Entered

Total 1382.9 1343 1415 17.1025

Comb

iner

C1_to_

OEM

Memb

erInpu

tBuffe

r

Through

put

Number

Exited

Total 1382.9 1343 1415 17.1025

Comb

iner

C1_to_

OEM

Output

Buffer

Through

put

Number

Entered

Total 115 115 115 0

Comb

iner

C1_to_

OEM

Output

Buffer

Through

put

Number

Exited

Total 115 115 115 0

Page 60: Risk Mitigation in the Supply Chain Caused by Multitple

47

Comb

iner

C1_to_

OEM

Parent

InputB

uffer

Content Number

InStatio

n

Avg 0.5011 0.4777 0.5194 0.0090

Comb

iner

C1_to_

OEM

Parent

InputB

uffer

Content Number

InStatio

n

Max 1.4 1 2 0.3694

Comb

iner

C1_to_

OEM

Parent

InputB

uffer

Content Number

InStatio

n

Min 0 0 0 0

Comb

iner

C1_to_

OEM

Parent

InputB

uffer

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.5011 0.4777 0.5194 0.0090

Comb

iner

C1_to_

OEM

Parent

InputB

uffer

Holding

Time

TimeInS

tation

Max

(Hrs)

0.9909 0.9046 1.1449 0.0613

Comb

iner

C1_to_

OEM

Parent

InputB

uffer

Holding

Time

TimeInS

tation

Min

(Hrs)

0.1658 0.1131 0.2028 0.0177

Comb

iner

C1_to_

OEM

Parent

InputB

uffer

Through

put

Number

Entered

Total 115 115 115 0

Comb

iner

C1_to_

OEM

Parent

InputB

uffer

Through

put

Number

Exited

Total 115 115 115 0

Comb

iner

C1_to_

OEM

Proces

sing

Through

put

Number

Entered

Total 115 115 115 0

Comb

iner

C1_to_

OEM

Proces

sing

Through

put

Number

Exited

Total 115 115 115 0

Comb

iner

C2_to_

OEM

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

0 0 0 0

Comb

iner

C2_to_

OEM

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 115.1 115 116 0.2262

Comb

iner

C2_to_

OEM

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Page 61: Risk Mitigation in the Supply Chain Caused by Multitple

48

Comb

iner

C2_to_

OEM

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Comb

iner

C2_to_

OEM

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Comb

iner

C2_to_

OEM

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0 0 0 0

Comb

iner

C2_to_

OEM

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Comb

iner

C2_to_

OEM

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Comb

iner

C2_to_

OEM

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

115 115 115 0

Comb

iner

C2_to_

OEM

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

1 1 1 0

Comb

iner

C2_to_

OEM

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

100 100 100 0

Comb

iner

C2_to_

OEM

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

115 115 115 0

Comb

iner

C2_to_

OEM

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Avg 2.6904 2.4627 2.9095 0.1064

Comb

iner

C2_to_

OEM

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Max 37.5 33 41 1.8546

Comb

iner

C2_to_

OEM

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Min 0 0 0 0

Comb

iner

C2_to_

OEM

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.1110 0.1064 0.1161 0.0022

Page 62: Risk Mitigation in the Supply Chain Caused by Multitple

49

Comb

iner

C2_to_

OEM

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Max

(Hrs)

0.3811 0.3470 0.4427 0.0188

Comb

iner

C2_to_

OEM

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Comb

iner

C2_to_

OEM

Memb

erInpu

tBuffe

r

Through

put

Number

Entered

Total 2785.3 2640 2883 57.7448

Comb

iner

C2_to_

OEM

Memb

erInpu

tBuffe

r

Through

put

Number

Exited

Total 2786.6 2640 2883 56.7970

Comb

iner

C2_to_

OEM

Output

Buffer

Content Number

InStatio

n

Avg 0.0046 0 0.016 0.0039

Comb

iner

C2_to_

OEM

Output

Buffer

Content Number

InStatio

n

Max 1 1 1 0

Comb

iner

C2_to_

OEM

Output

Buffer

Content Number

InStatio

n

Min 0 0 0 0

Comb

iner

C2_to_

OEM

Output

Buffer

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0046 0 0.016 0.0039

Comb

iner

C2_to_

OEM

Output

Buffer

Holding

Time

TimeInS

tation

Max

(Hrs)

0.3649 0 0.913 0.2536

Comb

iner

C2_to_

OEM

Output

Buffer

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Comb

iner

C2_to_

OEM

Output

Buffer

Through

put

Number

Entered

Total 115.1 115 116 0.2262

Comb

iner

C2_to_

OEM

Output

Buffer

Through

put

Number

Exited

Total 115.1 115 116 0.2262

Page 63: Risk Mitigation in the Supply Chain Caused by Multitple

50

Comb

iner

C2_to_

OEM

Parent

InputB

uffer

Content Number

InStatio

n

Avg 0.2396 0.2276 0.2579 0.0067

Comb

iner

C2_to_

OEM

Parent

InputB

uffer

Content Number

InStatio

n

Max 1.6 1 2 0.3694

Comb

iner

C2_to_

OEM

Parent

InputB

uffer

Content Number

InStatio

n

Min 0 0 0 0

Comb

iner

C2_to_

OEM

Parent

InputB

uffer

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.2395 0.2276 0.2579 0.0068

Comb

iner

C2_to_

OEM

Parent

InputB

uffer

Holding

Time

TimeInS

tation

Max

(Hrs)

0.4093 0.3629 0.4629 0.0213

Comb

iner

C2_to_

OEM

Parent

InputB

uffer

Holding

Time

TimeInS

tation

Min

(Hrs)

0.1281 0.1064 0.1521 0.0112

Comb

iner

C2_to_

OEM

Parent

InputB

uffer

Through

put

Number

Entered

Total 115 115 115 0

Comb

iner

C2_to_

OEM

Parent

InputB

uffer

Through

put

Number

Exited

Total 115.1 115 116 0.2262

Comb

iner

C2_to_

OEM

Proces

sing

Through

put

Number

Entered

Total 115.1 115 116 0.2262

Comb

iner

C2_to_

OEM

Proces

sing

Through

put

Number

Exited

Total 115.1 115 116 0.2262

Comb

iner

C3_to_

OEM

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

0 0 0 0

Comb

iner

C3_to_

OEM

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 94.5 91 98 1.7602

Comb

iner

C3_to_

OEM

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Page 64: Risk Mitigation in the Supply Chain Caused by Multitple

51

Comb

iner

C3_to_

OEM

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Comb

iner

C3_to_

OEM

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Comb

iner

C3_to_

OEM

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0 0 0 0

Comb

iner

C3_to_

OEM

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Comb

iner

C3_to_

OEM

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Comb

iner

C3_to_

OEM

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

115 115 115 0

Comb

iner

C3_to_

OEM

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

1 1 1 0

Comb

iner

C3_to_

OEM

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

100 100 100 0

Comb

iner

C3_to_

OEM

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

115 115 115 0

Comb

iner

C3_to_

OEM

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Avg 3.6768 3.4608 3.8073 0.0723

Comb

iner

C3_to_

OEM

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Max 26.5 23 32 2.3179

Comb

iner

C3_to_

OEM

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Min 0 0 0 0

Comb

iner

C3_to_

OEM

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.2956 0.2852 0.3068 0.0045

Page 65: Risk Mitigation in the Supply Chain Caused by Multitple

52

Comb

iner

C3_to_

OEM

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Max

(Hrs)

1.0080 0.8553 1.2432 0.1015

Comb

iner

C3_to_

OEM

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Comb

iner

C3_to_

OEM

Memb

erInpu

tBuffe

r

Through

put

Number

Entered

Total 1430.3 1374 1469 18.5706

Comb

iner

C3_to_

OEM

Memb

erInpu

tBuffe

r

Through

put

Number

Exited

Total 1430.3 1374 1469 18.5706

Comb

iner

C3_to_

OEM

Output

Buffer

Content Number

InStatio

n

Avg 0.0003 0 0.003 0.0007

Comb

iner

C3_to_

OEM

Output

Buffer

Content Number

InStatio

n

Max 1 1 1 0

Comb

iner

C3_to_

OEM

Output

Buffer

Content Number

InStatio

n

Min 0 0 0 0

Comb

iner

C3_to_

OEM

Output

Buffer

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0004 0 0.004 0.0008

Comb

iner

C3_to_

OEM

Output

Buffer

Holding

Time

TimeInS

tation

Max

(Hrs)

0.0338 0 0.338 0.0765

Comb

iner

C3_to_

OEM

Output

Buffer

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Comb

iner

C3_to_

OEM

Output

Buffer

Through

put

Number

Entered

Total 94.5 91 98 1.7602

Comb

iner

C3_to_

OEM

Output

Buffer

Through

put

Number

Exited

Total 94.5 91 98 1.7602

Page 66: Risk Mitigation in the Supply Chain Caused by Multitple

53

Comb

iner

C3_to_

OEM

Parent

InputB

uffer

Content Number

InStatio

n

Avg 0.4908 0.4691 0.5074 0.0074

Comb

iner

C3_to_

OEM

Parent

InputB

uffer

Content Number

InStatio

n

Max 1.4 1 2 0.3694

Comb

iner

C3_to_

OEM

Parent

InputB

uffer

Content Number

InStatio

n

Min 0 0 0 0

Comb

iner

C3_to_

OEM

Parent

InputB

uffer

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.5974 0.5855 0.6120 0.0066

Comb

iner

C3_to_

OEM

Parent

InputB

uffer

Holding

Time

TimeInS

tation

Max

(Hrs)

1.0591 0.9060 1.2888 0.1048

Comb

iner

C3_to_

OEM

Parent

InputB

uffer

Holding

Time

TimeInS

tation

Min

(Hrs)

0.2408 0.1648 0.2854 0.0274

Comb

iner

C3_to_

OEM

Parent

InputB

uffer

Through

put

Number

Entered

Total 94.5 91 98 1.7602

Comb

iner

C3_to_

OEM

Parent

InputB

uffer

Through

put

Number

Exited

Total 94.5 91 98 1.7602

Comb

iner

C3_to_

OEM

Proces

sing

Through

put

Number

Entered

Total 94.5 91 98 1.7602

Comb

iner

C3_to_

OEM

Proces

sing

Through

put

Number

Exited

Total 94.5 91 98 1.7602

Comb

iner

Combin

er1

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

0 0 0 0

Comb

iner

Combin

er1

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 116 116 116 0

Comb

iner

Combin

er1

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Page 67: Risk Mitigation in the Supply Chain Caused by Multitple

54

Comb

iner

Combin

er1

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Comb

iner

Combin

er1

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Comb

iner

Combin

er1

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0 0 0 0

Comb

iner

Combin

er1

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Comb

iner

Combin

er1

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Comb

iner

Combin

er1

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

115 115 115 0

Comb

iner

Combin

er1

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

1 1 1 0

Comb

iner

Combin

er1

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

100 100 100 0

Comb

iner

Combin

er1

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

115 115 115 0

Comb

iner

Combin

er1

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Avg 29.8933 29.7706 29.9997 0.0630

Comb

iner

Combin

er1

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Max 30 30 30 0

Comb

iner

Combin

er1

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Min 8 5 11 1.5816

Comb

iner

Combin

er1

Memb

erInpu

tBuffe

r

EntryQu

eue

Number

Waiting

Avg 144.723

1

135.103

2

150.847

8

3.2182

Page 68: Risk Mitigation in the Supply Chain Caused by Multitple

55

Comb

iner

Combin

er1

Memb

erInpu

tBuffe

r

EntryQu

eue

Number

Waiting

Max 189.9 189 190 0.2262

Comb

iner

Combin

er1

Memb

erInpu

tBuffe

r

EntryQu

eue

Number

Waiting

Min 0 0 0 0

Comb

iner

Combin

er1

Memb

erInpu

tBuffe

r

EntryQu

eue

TimeWa

iting

Avg

(Hrs)

11.0981 10.1703 11.8376 0.3272

Comb

iner

Combin

er1

Memb

erInpu

tBuffe

r

EntryQu

eue

TimeWa

iting

Max

(Hrs)

17.2047 15.9371 18.9511 0.6753

Comb

iner

Combin

er1

Memb

erInpu

tBuffe

r

EntryQu

eue

TimeWa

iting

Min

(Hrs)

0 0 0 0

Comb

iner

Combin

er1

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Avg

(Hrs)

2.4660 2.4049 2.5411 0.0304

Comb

iner

Combin

er1

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Max

(Hrs)

4 4 4 0

Comb

iner

Combin

er1

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Min

(Hrs)

0.8113 0.1761 1 0.2395

Comb

iner

Combin

er1

Memb

erInpu

tBuffe

r

Through

put

Number

Entered

Total 1396.6 1359 1428 16.2773

Comb Combin Memb

erInpu

Through Number Total 1396.2 1358 1428 16.3038

Page 69: Risk Mitigation in the Supply Chain Caused by Multitple

56

iner er1 tBuffe

r

put Exited

Comb

iner

Combin

er1

Output

Buffer

Through

put

Number

Entered

Total 116 116 116 0

Comb

iner

Combin

er1

Output

Buffer

Through

put

Number

Exited

Total 116 116 116 0

Comb

iner

Combin

er1

Parent

InputB

uffer

Through

put

Number

Entered

Total 116 116 116 0

Comb

iner

Combin

er1

Parent

InputB

uffer

Through

put

Number

Exited

Total 116 116 116 0

Comb

iner

Combin

er1

Proces

sing

Through

put

Number

Entered

Total 116 116 116 0

Comb

iner

Combin

er1

Proces

sing

Through

put

Number

Exited

Total 116 116 116 0

Comb

iner

Combin

er1_1

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

0 0 0 0

Comb

iner

Combin

er1_1

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 115 115 115 0

Comb

iner

Combin

er1_1

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Comb

iner

Combin

er1_1

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Comb

iner

Combin

er1_1

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Comb

iner

Combin

er1_1

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0 0 0 0

Comb

iner

Combin

er1_1

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Comb

iner

Combin

er1_1

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Page 70: Risk Mitigation in the Supply Chain Caused by Multitple

57

Comb

iner

Combin

er1_1

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

115 115 115 0

Comb

iner

Combin

er1_1

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

1 1 1 0

Comb

iner

Combin

er1_1

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

100 100 100 0

Comb

iner

Combin

er1_1

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

115 115 115 0

Comb

iner

Combin

er1_1

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Avg 41.8665 15.8301 56.1622 9.7372

Comb

iner

Combin

er1_1

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Max 59.1 51 60 2.0358

Comb

iner

Combin

er1_1

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Min 0 0 0 0

Comb

iner

Combin

er1_1

Memb

erInpu

tBuffe

r

EntryQu

eue

Number

Waiting

Avg 22.8881 0 90.740 21.3525

Comb

iner

Combin

er1_1

Memb

erInpu

tBuffe

r

EntryQu

eue

Number

Waiting

Max 83.2 1 218 49.7889

Comb

iner

Combin

er1_1

Memb

erInpu

tBuffe

r

EntryQu

eue

Number

Waiting

Min 0 0 0 0

Comb

iner

Combin

er1_1

Memb

erInpu

tBuffe

r

EntryQu

eue

TimeWa

iting

Avg

(Hrs)

0.9026 0 3.601 0.8502

Page 71: Risk Mitigation in the Supply Chain Caused by Multitple

58

Comb

iner

Combin

er1_1

Memb

erInpu

tBuffe

r

EntryQu

eue

TimeWa

iting

Max

(Hrs)

3.1231 0 8.704 1.9530

Comb

iner

Combin

er1_1

Memb

erInpu

tBuffe

r

EntryQu

eue

TimeWa

iting

Min

(Hrs)

0 0 0 0

Comb

iner

Combin

er1_1

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Avg

(Hrs)

1.7190 0.6318 2.4137 0.4172

Comb

iner

Combin

er1_1

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Max

(Hrs)

3.5934 2.3094 4 0.4798

Comb

iner

Combin

er1_1

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Comb

iner

Combin

er1_1

Memb

erInpu

tBuffe

r

Through

put

Number

Entered

Total 2793.6 2654 2850 47.6647

Comb

iner

Combin

er1_1

Memb

erInpu

tBuffe

r

Through

put

Number

Exited

Total 2784.1 2640 2883 58.7370

Comb

iner

Combin

er1_1

Output

Buffer

Through

put

Number

Entered

Total 115 115 115 0

Comb

iner

Combin

er1_1

Output

Buffer

Through

put

Number

Exited

Total 115 115 115 0

Comb

iner

Combin

er1_1

Parent

InputB

uffer

Content Number

InStatio

n

Avg 0.1137 0.0000 0.7276 0.1577

Comb

iner

Combin

er1_1

Parent

InputB

Content Number

InStatio

Max 1.6 1 3 0.5001

Page 72: Risk Mitigation in the Supply Chain Caused by Multitple

59

uffer n

Comb

iner

Combin

er1_1

Parent

InputB

uffer

Content Number

InStatio

n

Min 0 0 0 0

Comb

iner

Combin

er1_1

Parent

InputB

uffer

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.1137 0.0000 0.7276 0.1577

Comb

iner

Combin

er1_1

Parent

InputB

uffer

Holding

Time

TimeInS

tation

Max

(Hrs)

1.0081 0.0023 2.8042 0.6097

Comb

iner

Combin

er1_1

Parent

InputB

uffer

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Comb

iner

Combin

er1_1

Parent

InputB

uffer

Through

put

Number

Entered

Total 115 115 115 0

Comb

iner

Combin

er1_1

Parent

InputB

uffer

Through

put

Number

Exited

Total 115 115 115 0

Comb

iner

Combin

er1_1

Proces

sing

Through

put

Number

Entered

Total 115 115 115 0

Comb

iner

Combin

er1_1

Proces

sing

Through

put

Number

Exited

Total 115 115 115 0

Comb

iner

Combin

er1_2

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

0 0 0 0

Comb

iner

Combin

er1_2

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 94.5 91 98 1.7602

Comb

iner

Combin

er1_2

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Comb

iner

Combin

er1_2

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Comb

iner

Combin

er1_2

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Page 73: Risk Mitigation in the Supply Chain Caused by Multitple

60

Comb

iner

Combin

er1_2

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0 0 0 0

Comb

iner

Combin

er1_2

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Comb

iner

Combin

er1_2

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Comb

iner

Combin

er1_2

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

115 115 115 0

Comb

iner

Combin

er1_2

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

1 1 1 0

Comb

iner

Combin

er1_2

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

100 100 100 0

Comb

iner

Combin

er1_2

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

115 115 115 0

Comb

iner

Combin

er1_2

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Avg 220.124

4

214.476

9

224.313

8

2.7128

Comb

iner

Combin

er1_2

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Max 274.7 273 275 0.4828

Comb

iner

Combin

er1_2

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Min 22.2 4 36 7.7321

Comb

iner

Combin

er1_2

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Avg

(Hrs)

15.6481 15.1322 16.3383 0.2728

Comb

iner

Combin

er1_2

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Max

(Hrs)

25.5191 23.7492 27.1435 0.8436

Page 74: Risk Mitigation in the Supply Chain Caused by Multitple

61

Comb

iner

Combin

er1_2

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Min

(Hrs)

1.1431 0.1837 1.7954 0.3106

Comb

iner

Combin

er1_2

Memb

erInpu

tBuffe

r

Through

put

Number

Entered

Total 1630 1600 1650 14.1060

Comb

iner

Combin

er1_2

Memb

erInpu

tBuffe

r

Through

put

Number

Exited

Total 1430.3 1374 1469 18.5706

Comb

iner

Combin

er1_2

Output

Buffer

Through

put

Number

Entered

Total 94.5 91 98 1.7602

Comb

iner

Combin

er1_2

Output

Buffer

Through

put

Number

Exited

Total 94.5 91 98 1.7602

Comb

iner

Combin

er1_2

Parent

InputB

uffer

Through

put

Number

Entered

Total 94.5 91 98 1.7602

Comb

iner

Combin

er1_2

Parent

InputB

uffer

Through

put

Number

Exited

Total 94.5 91 98 1.7602

Comb

iner

Combin

er1_2

Proces

sing

Through

put

Number

Entered

Total 94.5 91 98 1.7602

Comb

iner

Combin

er1_2

Proces

sing

Through

put

Number

Exited

Total 94.5 91 98 1.7602

Comb

iner

Combin

er1_3

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

0 0 0 0

Comb

iner

Combin

er1_3

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 92.6 87 99 2.7847

Comb

iner

Combin

er1_3

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Comb

iner

Combin

er1_3

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Page 75: Risk Mitigation in the Supply Chain Caused by Multitple

62

Comb

iner

Combin

er1_3

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Comb

iner

Combin

er1_3

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0 0 0 0

Comb

iner

Combin

er1_3

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Comb

iner

Combin

er1_3

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Comb

iner

Combin

er1_3

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

115 115 115 0

Comb

iner

Combin

er1_3

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

1 1 1 0

Comb

iner

Combin

er1_3

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

100 100 100 0

Comb

iner

Combin

er1_3

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

115 115 115 0

Comb

iner

Combin

er1_3

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Avg 7.7486 6.4369 8.5072 0.4966

Comb

iner

Combin

er1_3

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Max 26.1 22 29 1.5977

Comb

iner

Combin

er1_3

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Min 0 0 0 0

Comb

iner

Combin

er1_3

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.6437 0.5410 0.7282 0.0417

Comb

iner

Combin

er1_3

Memb

erInpu

tBuffe

Holding

Time

TimeInS

tation

Max

(Hrs)

2.8764 2.3352 3.2635 0.2549

Page 76: Risk Mitigation in the Supply Chain Caused by Multitple

63

r

Comb

iner

Combin

er1_3

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Comb

iner

Combin

er1_3

Memb

erInpu

tBuffe

r

Through

put

Number

Entered

Total 1383.3 1346 1417 17.0112

Comb

iner

Combin

er1_3

Memb

erInpu

tBuffe

r

Through

put

Number

Exited

Total 1385.9 1339 1423 18.6482

Comb

iner

Combin

er1_3

Output

Buffer

Through

put

Number

Entered

Total 92.6 87 99 2.7847

Comb

iner

Combin

er1_3

Output

Buffer

Through

put

Number

Exited

Total 92.6 87 99 2.7847

Comb

iner

Combin

er1_3

Parent

InputB

uffer

Content Number

InStatio

n

Avg 11.7738 6.9700 14.7778 1.6905

Comb

iner

Combin

er1_3

Parent

InputB

uffer

Content Number

InStatio

n

Max 23.6 17 29 2.8050

Comb

iner

Combin

er1_3

Parent

InputB

uffer

Content Number

InStatio

n

Min 0.2 0 1 0.3016

Comb

iner

Combin

er1_3

Parent

InputB

uffer

Holding

Time

TimeInS

tation

Avg

(Hrs)

11.7512 6.7230 15.2226 1.7722

Comb

iner

Combin

er1_3

Parent

InputB

uffer

Holding

Time

TimeInS

tation

Max

(Hrs)

23.2937 16.7396 28.8154 2.7729

Comb

iner

Combin

er1_3

Parent

InputB

uffer

Holding

Time

TimeInS

tation

Min

(Hrs)

0.5478 0 1.449 0.4550

Page 77: Risk Mitigation in the Supply Chain Caused by Multitple

64

Comb

iner

Combin

er1_3

Parent

InputB

uffer

Through

put

Number

Entered

Total 115 115 115 0

Comb

iner

Combin

er1_3

Parent

InputB

uffer

Through

put

Number

Exited

Total 92.6 87 99 2.7847

Comb

iner

Combin

er1_3

Proces

sing

Through

put

Number

Entered

Total 92.6 87 99 2.7847

Comb

iner

Combin

er1_3

Proces

sing

Through

put

Number

Exited

Total 92.6 87 99 2.7847

Comb

iner

Combin

er4

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

0 0 0 0

Comb

iner

Combin

er4

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 91.5 87 97 2.3903

Comb

iner

Combin

er4

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Comb

iner

Combin

er4

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Comb

iner

Combin

er4

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Comb

iner

Combin

er4

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0 0 0 0

Comb

iner

Combin

er4

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Comb

iner

Combin

er4

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Comb

iner

Combin

er4

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

115 115 115 0

Comb

iner

Combin

er4

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

1 1 1 0

Comb

iner

Combin

er4

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

100 100 100 0

Page 78: Risk Mitigation in the Supply Chain Caused by Multitple

65

Comb

iner

Combin

er4

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

115 115 115 0

Comb

iner

Combin

er4

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Avg 4.9415 3.1067 7.2244 1.0905

Comb

iner

Combin

er4

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Max 25.4 21 29 1.8835

Comb

iner

Combin

er4

Memb

erInpu

tBuffe

r

Content Number

InStatio

n

Min 0 0 0 0

Comb

iner

Combin

er4

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.4150 0.2668 0.6252 0.0916

Comb

iner

Combin

er4

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Max

(Hrs)

1.9639 1.0720 2.7708 0.3617

Comb

iner

Combin

er4

Memb

erInpu

tBuffe

r

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Comb

iner

Combin

er4

Memb

erInpu

tBuffe

r

Through

put

Number

Entered

Total 1368.7 1316 1407 20.2630

Comb

iner

Combin

er4

Memb

erInpu

tBuffe

r

Through

put

Number

Exited

Total 1369.7 1305 1417 23.6185

Comb

iner

Combin

er4

Output

Buffer

Content Number

InStatio

Avg 0.0516 0.0207 0.0916 0.0152

Page 79: Risk Mitigation in the Supply Chain Caused by Multitple

66

n

Comb

iner

Combin

er4

Output

Buffer

Content Number

InStatio

n

Max 1.9 1 3 0.4060

Comb

iner

Combin

er4

Output

Buffer

Content Number

InStatio

n

Min 0 0 0 0

Comb

iner

Combin

er4

Output

Buffer

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0645 0.0256 0.1086 0.0180

Comb

iner

Combin

er4

Output

Buffer

Holding

Time

TimeInS

tation

Max

(Hrs)

1.1364 0.3934 1.6188 0.2468

Comb

iner

Combin

er4

Output

Buffer

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Comb

iner

Combin

er4

Output

Buffer

Through

put

Number

Entered

Total 91.5 87 97 2.3903

Comb

iner

Combin

er4

Output

Buffer

Through

put

Number

Exited

Total 91.5 87 97 2.3903

Comb

iner

Combin

er4

Parent

InputB

uffer

Content Number

InStatio

n

Avg 1.4541 0.4861 5.0887 1.0041

Comb

iner

Combin

er4

Parent

InputB

uffer

Content Number

InStatio

n

Max 4.1 2 9 1.7342

Comb

iner

Combin

er4

Parent

InputB

uffer

Content Number

InStatio

n

Min 0 0 0 0

Comb

iner

Combin

er4

Parent

InputB

uffer

Holding

Time

TimeInS

tation

Avg

(Hrs)

1.7717 0.6492 5.9670 1.1705

Comb

iner

Combin

er4

Parent

InputB

uffer

Holding

Time

TimeInS

tation

Max

(Hrs)

3.8323 1.4732 9.7909 1.8072

Comb

iner

Combin

er4

Parent

InputB

uffer

Holding

Time

TimeInS

tation

Min

(Hrs)

0.3754 0.2293 1.0194 0.1671

Page 80: Risk Mitigation in the Supply Chain Caused by Multitple

67

Comb

iner

Combin

er4

Parent

InputB

uffer

Through

put

Number

Entered

Total 92.6 87 99 2.7847

Comb

iner

Combin

er4

Parent

InputB

uffer

Through

put

Number

Exited

Total 91.5 87 97 2.3903

Comb

iner

Combin

er4

Proces

sing

Through

put

Number

Entered

Total 91.5 87 97 2.3903

Comb

iner

Combin

er4

Proces

sing

Through

put

Number

Exited

Total 91.5 87 97 2.3903

Mode

l

Model [Objec

t]

Costs TotalCo

st

Total

(USD)

10892.9 10782.5 10989.5 49.2053

Mode

lEntit

y

comp1 [Popul

ation]

Content Number

InSyste

m

Avg 241.864

3

227.211

8

284.370

1

12.7457

Mode

lEntit

y

comp1 [Popul

ation]

Content Number

InSyste

m

Max 310.1 281 376 21.3435

Mode

lEntit

y

comp1 [Popul

ation]

Content Number

InSyste

m

Min 77.9 72 86 3.6074

Mode

lEntit

y

comp1 [Popul

ation]

Costs CostPerI

tem

Avg

(USD)

0.7000 0.7000 0.7000 0.0000

Mode

lEntit

y

comp1 [Popul

ation]

Costs CostPerI

tem

Max

(USD)

0.7000 0.7000 0.7000 0.0000

Mode

lEntit

y

comp1 [Popul

ation]

Costs CostPerI

tem

Min

(USD)

0.7000 0.7000 0.7000 0.0000

Mode

lEntit

y

comp1 [Popul

ation]

Costs CostPerI

tem

Obser

vation

s

1367.3 1318 1399 17.6508

Mode

lEntit

comp1 [Popul

ation]

FlowTi

me

TimeInS

ystem

Avg

(Hrs)

18.0529 16.8656 20.8095 0.8147

Page 81: Risk Mitigation in the Supply Chain Caused by Multitple

68

y

Mode

lEntit

y

comp1 [Popul

ation]

FlowTi

me

TimeInS

ystem

Max

(Hrs)

26.2807 23.8304 32.3188 1.7157

Mode

lEntit

y

comp1 [Popul

ation]

FlowTi

me

TimeInS

ystem

Min

(Hrs)

4.2173 3.5815 4.7070 0.2442

Mode

lEntit

y

comp1 [Popul

ation]

FlowTi

me

TimeInS

ystem

Obser

vation

s

1367.3 1318 1399 17.6508

Mode

lEntit

y

comp1 [Popul

ation]

Through

put

Number

Created

Total 1542 1500 1580 18.4075

Mode

lEntit

y

comp1 [Popul

ation]

Through

put

Number

Destroy

ed

Total 1367.3 1318 1399 17.6508

Mode

lEntit

y

comp2 [Popul

ation]

Content Number

InSyste

m

Avg 193.478

2

166.213

2

249.522

8

19.4725

Mode

lEntit

y

comp2 [Popul

ation]

Content Number

InSyste

m

Max 293.4 226 382 34.7498

Mode

lEntit

y

comp2 [Popul

ation]

Content Number

InSyste

m

Min 99 94 114 3.9468

Mode

lEntit

y

comp2 [Popul

ation]

Costs CostPerI

tem

Avg

(USD)

0.2500 0.2500 0.2500 0

Mode

lEntit

y

comp2 [Popul

ation]

Costs CostPerI

tem

Max

(USD)

0.2500 0.2500 0.2500 0

Mode

lEntit

y

comp2 [Popul

ation]

Costs CostPerI

tem

Min

(USD)

0.2500 0.2500 0.2500 0

Mode

lEntit

comp2 [Popul Costs CostPerI Obser

vation

2734.6 2636 2798 35.3017

Page 82: Risk Mitigation in the Supply Chain Caused by Multitple

69

y ation] tem s

Mode

lEntit

y

comp2 [Popul

ation]

FlowTi

me

TimeInS

ystem

Avg

(Hrs)

7.7346 6.6697 9.9403 0.7832

Mode

lEntit

y

comp2 [Popul

ation]

FlowTi

me

TimeInS

ystem

Max

(Hrs)

12.3405 10.1703 15.8661 1.3445

Mode

lEntit

y

comp2 [Popul

ation]

FlowTi

me

TimeInS

ystem

Min

(Hrs)

3.5908 3.4885 3.7934 0.0583

Mode

lEntit

y

comp2 [Popul

ation]

FlowTi

me

TimeInS

ystem

Obser

vation

s

2734.6 2636 2798 35.3017

Mode

lEntit

y

comp2 [Popul

ation]

Through

put

Number

Created

Total 2850 2850 2850 0

Mode

lEntit

y

comp2 [Popul

ation]

Through

put

Number

Destroy

ed

Total 2734.6 2636 2798 35.3017

Mode

lEntit

y

comp3 [Popul

ation]

Content Number

InSyste

m

Avg 352.486

9

347.082

6

357.370

1

2.8146

Mode

lEntit

y

comp3 [Popul

ation]

Content Number

InSyste

m

Max 428.8 423 435 3.4684

Mode

lEntit

y

comp3 [Popul

ation]

Content Number

InSyste

m

Min 103.9 97 113 4.3373

Mode

lEntit

y

comp3 [Popul

ation]

Costs CostPerI

tem

Avg

(USD)

0.5000 0.5000 0.5000 0

Mode

lEntit

y

comp3 [Popul

ation]

Costs CostPerI

tem

Max

(USD)

0.5000 0.5000 0.5000 0

Mode

lEntit

comp3 [Popul Costs CostPerI Min 0.5000 0.5000 0.5000 0

Page 83: Risk Mitigation in the Supply Chain Caused by Multitple

70

y ation] tem (USD)

Mode

lEntit

y

comp3 [Popul

ation]

Costs CostPerI

tem

Obser

vation

s

1367.3 1318 1399 17.6508

Mode

lEntit

y

comp3 [Popul

ation]

FlowTi

me

TimeInS

ystem

Avg

(Hrs)

25.0339 24.4283 26.0866 0.4215

Mode

lEntit

y

comp3 [Popul

ation]

FlowTi

me

TimeInS

ystem

Max

(Hrs)

36.8701 34.5811 39.2853 1.1810

Mode

lEntit

y

comp3 [Popul

ation]

FlowTi

me

TimeInS

ystem

Min

(Hrs)

4.8463 3.9979 5.9070 0.4396

Mode

lEntit

y

comp3 [Popul

ation]

FlowTi

me

TimeInS

ystem

Obser

vation

s

1367.3 1318 1399 17.6508

Mode

lEntit

y

comp3 [Popul

ation]

Through

put

Number

Created

Total 1630 1600 1650 14.1060

Mode

lEntit

y

comp3 [Popul

ation]

Through

put

Number

Destroy

ed

Total 1367.3 1318 1399 17.6508

Mode

lEntit

y

custom

er_orde

r

[Popul

ation]

Content Number

InSyste

m

Avg 14.4753 12.3140 17.8141 1.2288

Mode

lEntit

y

custom

er_orde

r

[Popul

ation]

Content Number

InSyste

m

Max 27 22 31 2.2112

Mode

lEntit

y

custom

er_orde

r

[Popul

ation]

Content Number

InSyste

m

Min 2.2 2 3 0.3016

Mode

lEntit

y

custom

er_orde

r

[Popul

ation]

FlowTi

me

TimeInS

ystem

Avg

(Hrs)

14.4361 12.2795 18.2371 1.3268

Mode

lEntit

custom

er_orde

[Popul FlowTi TimeInS Max 26.1042 21.0665 30.6754 2.4121

Page 84: Risk Mitigation in the Supply Chain Caused by Multitple

71

y r ation] me ystem (Hrs)

Mode

lEntit

y

custom

er_orde

r

[Popul

ation]

FlowTi

me

TimeInS

ystem

Min

(Hrs)

2.9600 2.2805 4.3070 0.4270

Mode

lEntit

y

custom

er_orde

r

[Popul

ation]

FlowTi

me

TimeInS

ystem

Obser

vation

s

91.5 87 97 2.2176

Mode

lEntit

y

custom

er_orde

r

[Popul

ation]

Through

put

Number

Created

Total 116 116 116 0

Mode

lEntit

y

custom

er_orde

r

[Popul

ation]

Through

put

Number

Destroy

ed

Total 91.5 87 97 2.2176

Mode

lEntit

y

order_c

omp1

[Popul

ation]

Content Number

InSyste

m

Avg 1.5031 1.4834 1.5211 0.0088

Mode

lEntit

y

order_c

omp1

[Popul

ation]

Content Number

InSyste

m

Max 2.4 2 3 0.3694

Mode

lEntit

y

order_c

omp1

[Popul

ation]

Content Number

InSyste

m

Min 1 1 1 0

Mode

lEntit

y

order_c

omp1

[Popul

ation]

Costs CostPerI

tem

Avg

(USD)

25 25 25 0

Mode

lEntit

y

order_c

omp1

[Popul

ation]

Costs CostPerI

tem

Max

(USD)

25 25 25 0

Mode

lEntit

y

order_c

omp1

[Popul

ation]

Costs CostPerI

tem

Min

(USD)

25 25 25 0

Mode

lEntit

y

order_c

omp1

[Popul

ation]

Costs CostPerI

tem

Obser

vation

s

115 115 115 0

Mode

lEntit

order_c [Popul FlowTi TimeInS Avg 1.5031 1.4834 1.5211 0.0088

Page 85: Risk Mitigation in the Supply Chain Caused by Multitple

72

y omp1 ation] me ystem (Hrs)

Mode

lEntit

y

order_c

omp1

[Popul

ation]

FlowTi

me

TimeInS

ystem

Max

(Hrs)

1.9930 1.9068 2.1471 0.0613

Mode

lEntit

y

order_c

omp1

[Popul

ation]

FlowTi

me

TimeInS

ystem

Min

(Hrs)

1.1680 1.1153 1.2049 0.0177

Mode

lEntit

y

order_c

omp1

[Popul

ation]

FlowTi

me

TimeInS

ystem

Obser

vation

s

115 115 115 0

Mode

lEntit

y

order_c

omp1

[Popul

ation]

Through

put

Number

Created

Total 116 116 116 0

Mode

lEntit

y

order_c

omp1

[Popul

ation]

Through

put

Number

Destroy

ed

Total 115 115 115 0

Mode

lEntit

y

Order_

Comp2

[Popul

ation]

Content Number

InSyste

m

Avg 2.0656 1.9400 2.7039 0.1650

Mode

lEntit

y

Order_

Comp2

[Popul

ation]

Content Number

InSyste

m

Max 3.5 3 5 0.5058

Mode

lEntit

y

Order_

Comp2

[Popul

ation]

Content Number

InSyste

m

Min 1 1 1 0

Mode

lEntit

y

Order_

Comp2

[Popul

ation]

Costs CostPerI

tem

Avg

(USD)

30 30 30 0

Mode

lEntit

y

Order_

Comp2

[Popul

ation]

Costs CostPerI

tem

Max

(USD)

30 30 30 0

Mode

lEntit

y

Order_

Comp2

[Popul

ation]

Costs CostPerI

tem

Min

(USD)

30 30 30 0

Mode

lEntit

Order_ [Popul Costs CostPerI Obser

vation

115.4 115 116 0.3694

Page 86: Risk Mitigation in the Supply Chain Caused by Multitple

73

y Comp2 ation] tem s

Mode

lEntit

y

Order_

Comp2

[Popul

ation]

FlowTi

me

TimeInS

ystem

Avg

(Hrs)

2.0655 1.9400 2.7039 0.1649

Mode

lEntit

y

Order_

Comp2

[Popul

ation]

FlowTi

me

TimeInS

ystem

Max

(Hrs)

3.0815 2.1661 4.7623 0.5287

Mode

lEntit

y

Order_

Comp2

[Popul

ation]

FlowTi

me

TimeInS

ystem

Min

(Hrs)

1.8335 1.8096 1.8773 0.0145

Mode

lEntit

y

Order_

Comp2

[Popul

ation]

FlowTi

me

TimeInS

ystem

Obser

vation

s

115.4 115 116 0.3694

Mode

lEntit

y

Order_

Comp2

[Popul

ation]

Through

put

Number

Created

Total 116 116 116 0

Mode

lEntit

y

Order_

Comp2

[Popul

ation]

Through

put

Number

Destroy

ed

Total 115.4 115 116 0.3694

Mode

lEntit

y

Order_

comp3

[Popul

ation]

Content Number

InSyste

m

Avg 1.4829 1.4341 1.5311 0.0237

Mode

lEntit

y

Order_

comp3

[Popul

ation]

Content Number

InSyste

m

Max 3 3 3 0

Mode

lEntit

y

Order_

comp3

[Popul

ation]

Content Number

InSyste

m

Min 0 0 0 0

Mode

lEntit

y

Order_

comp3

[Popul

ation]

Costs CostPerI

tem

Avg

(USD)

20 20 20 0

Mode

lEntit

y

Order_

comp3

[Popul

ation]

Costs CostPerI

tem

Max

(USD)

20 20 20 0

Mode

lEntit

Order_ [Popul Costs CostPerI Min 20 20 20 0

Page 87: Risk Mitigation in the Supply Chain Caused by Multitple

74

y comp3 ation] tem (USD)

Mode

lEntit

y

Order_

comp3

[Popul

ation]

Costs CostPerI

tem

Obser

vation

s

95 92 98 1.6171

Mode

lEntit

y

Order_

comp3

[Popul

ation]

FlowTi

me

TimeInS

ystem

Avg

(Hrs)

1.8016 1.7908 1.8187 0.0069

Mode

lEntit

y

Order_

comp3

[Popul

ation]

FlowTi

me

TimeInS

ystem

Max

(Hrs)

2.2623 2.1093 2.4920 0.1048

Mode

lEntit

y

Order_

comp3

[Popul

ation]

FlowTi

me

TimeInS

ystem

Min

(Hrs)

1.4440 1.3680 1.4886 0.0274

Mode

lEntit

y

Order_

comp3

[Popul

ation]

FlowTi

me

TimeInS

ystem

Obser

vation

s

95 92 98 1.6171

Mode

lEntit

y

Order_

comp3

[Popul

ation]

Through

put

Number

Created

Total 95.3 92 99 1.7859

Mode

lEntit

y

Order_

comp3

[Popul

ation]

Through

put

Number

Destroy

ed

Total 95 92 98 1.6171

Path Path1_

1

[Trave

lers]

Content Number

OnLink

Avg 0.0090 0.0090 0.0090 0.0000

Path Path1_

1

[Trave

lers]

Content Number

OnLink

Max 30 30 30 0

Path Path1_

1

[Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path1_

1

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0004 0.0004 0.0004 0.0000

Path Path1_

1

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0004 0.0004 0.0004 0

Path Path1_

1

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0004 0.0004 0.0004 0

Page 88: Risk Mitigation in the Supply Chain Caused by Multitple

75

Path Path1_

1

[Trave

lers]

Through

put

Number

Entered

Total 2850 2850 2850 0

Path Path1_

1

[Trave

lers]

Through

put

Number

Exited

Total 2850 2850 2850 0

Path Path1_

2

[Trave

lers]

Content Number

OnLink

Avg 0.0064 0.0063 0.0065 0.0001

Path Path1_

2

[Trave

lers]

Content Number

OnLink

Max 25 25 25 0

Path Path1_

2

[Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path1_

2

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0005 0.0005 0.0005 0.0000

Path Path1_

2

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0005 0.0005 0.0005 0

Path Path1_

2

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0005 0.0005 0.0005 0

Path Path1_

2

[Trave

lers]

Through

put

Number

Entered

Total 1630 1600 1650 14.1060

Path Path1_

2

[Trave

lers]

Through

put

Number

Exited

Total 1630 1600 1650 14.1060

Path Path1_

3

[Trave

lers]

Content Number

OnLink

Avg 0.0013 0.0013 0.0013 0.0000

Path Path1_

3

[Trave

lers]

Content Number

OnLink

Max 1 1 1 0

Path Path1_

3

[Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path1_

3

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0013 0.0013 0.0013 0.0000

Path Path1_

3

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0013 0.0013 0.0013 0

Path Path1_

3

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0013 0.0013 0.0013 0

Path Path1_ [Trave Through Number Total 116 116 116 0

Page 89: Risk Mitigation in the Supply Chain Caused by Multitple

76

3 lers] put Entered

Path Path1_

3

[Trave

lers]

Through

put

Number

Exited

Total 115 115 115 0

Path Path10

_1

[Trave

lers]

Content Number

OnLink

Avg 0.0005 0.0005 0.0005 0

Path Path10

_1

[Trave

lers]

Content Number

OnLink

Max 1 1 1 0

Path Path10

_1

[Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path10

_1

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0005 0.0005 0.0005 0

Path Path10

_1

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0005 0.0005 0.0005 0

Path Path10

_1

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0005 0.0005 0.0005 0

Path Path10

_1

[Trave

lers]

Through

put

Number

Entered

Total 115 115 115 0

Path Path10

_1

[Trave

lers]

Through

put

Number

Exited

Total 115 115 115 0

Path Path11 [Trave

lers]

Content Number

OnLink

Avg 0.0128 0.0121 0.0133 0.0003

Path Path11 [Trave

lers]

Content Number

OnLink

Max 3 3 3 0

Path Path11 [Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path11 [Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0005 0.0005 0.0005 0

Path Path11 [Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0005 0.0005 0.0005 0

Path Path11 [Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0005 0.0005 0.0005 0

Path Path11 [Trave

lers]

Through

put

Number

Entered

Total 2785.3 2640 2883 57.7448

Page 90: Risk Mitigation in the Supply Chain Caused by Multitple

77

Path Path11 [Trave

lers]

Through

put

Number

Exited

Total 2785.3 2640 2883 57.7448

Path Path11

_1

[Trave

lers]

Content Number

OnLink

Avg 0.0110 0.0107 0.0112 0.0001

Path Path11

_1

[Trave

lers]

Content Number

OnLink

Max 26.5 23 32 2.3179

Path Path11

_1

[Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path11

_1

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0009 0.0009 0.0009 0.0000

Path Path11

_1

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0009 0.0009 0.0009 0

Path Path11

_1

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0009 0.0009 0.0009 0

Path Path11

_1

[Trave

lers]

Through

put

Number

Entered

Total 1439.9 1396 1464 13.4307

Path Path11

_1

[Trave

lers]

Through

put

Number

Exited

Total 1439.9 1396 1464 13.4307

Path Path12 [Trave

lers]

Content Number

OnLink

Avg 0.0055 0.0053 0.0057 0.0001

Path Path12 [Trave

lers]

Content Number

OnLink

Max 1 1 1 0

Path Path12 [Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path12 [Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0004 0.0004 0.0004 0.0000

Path Path12 [Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0004 0.0004 0.0004 0

Path Path12 [Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0004 0.0004 0.0004 0

Path Path12 [Trave

lers]

Through

put

Number

Entered

Total 1430.3 1374 1469 18.5706

Path Path12 [Trave Through Number Total 1430.3 1374 1469 18.5706

Page 91: Risk Mitigation in the Supply Chain Caused by Multitple

78

lers] put Exited

Path Path12

_1

[Trave

lers]

Content Number

OnLink

Avg 0.0003 0.0003 0.0003 0.0000

Path Path12

_1

[Trave

lers]

Content Number

OnLink

Max 1 1 1 0

Path Path12

_1

[Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path12

_1

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0003 0.0003 0.0003 0

Path Path12

_1

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0003 0.0003 0.0003 0

Path Path12

_1

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0003 0.0003 0.0003 0

Path Path12

_1

[Trave

lers]

Through

put

Number

Entered

Total 115.4 115 116 0.3694

Path Path12

_1

[Trave

lers]

Through

put

Number

Exited

Total 115.4 115 116 0.3694

Path Path13 [Trave

lers]

Content Number

OnLink

Avg 0.0016 0.0016 0.0017 0.0000

Path Path13 [Trave

lers]

Content Number

OnLink

Max 1 1 1 0

Path Path13 [Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path13 [Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0020 0.0020 0.0020 0.0000

Path Path13 [Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0020 0.0020 0.0020 0

Path Path13 [Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0020 0.0020 0.0020 0

Path Path13 [Trave

lers]

Through

put

Number

Entered

Total 94.5 91 98 1.7602

Path Path13 [Trave

lers]

Through

put

Number

Exited

Total 94.5 91 98 1.7602

Page 92: Risk Mitigation in the Supply Chain Caused by Multitple

79

Path Path13

_1

[Trave

lers]

Content Number

OnLink

Avg 0.0285 0.0269 0.0295 0.0006

Path Path13

_1

[Trave

lers]

Content Number

OnLink

Max 37.4 33 41 1.9429

Path Path13

_1

[Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path13

_1

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0012 0.0012 0.0012 0.0000

Path Path13

_1

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0012 0.0012 0.0012 0

Path Path13

_1

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0012 0.0012 0.0012 0

Path Path13

_1

[Trave

lers]

Through

put

Number

Entered

Total 2788.8 2636 2892 56.3171

Path Path13

_1

[Trave

lers]

Through

put

Number

Exited

Total 2788.8 2636 2892 56.3171

Path Path14 [Trave

lers]

Content Number

OnLink

Avg 0.0077 0.0074 0.0079 0.0001

Path Path14 [Trave

lers]

Content Number

OnLink

Max 1 1 1 0

Path Path14 [Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path14 [Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0006 0.0006 0.0006 0.0000

Path Path14 [Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0006 0.0006 0.0006 0

Path Path14 [Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0006 0.0006 0.0006 0

Path Path14 [Trave

lers]

Through

put

Number

Entered

Total 1367.5 1317 1402 19.0458

Path Path14 [Trave

lers]

Through

put

Number

Exited

Total 1367.5 1317 1402 19.0458

Path Path15 [Trave Content Number Avg 0.0005 0.0005 0.0005 0.0000

Page 93: Risk Mitigation in the Supply Chain Caused by Multitple

80

lers] OnLink

Path Path15 [Trave

lers]

Content Number

OnLink

Max 1 1 1 0

Path Path15 [Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path15 [Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0006 0.0006 0.0006 0.0000

Path Path15 [Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0006 0.0006 0.0006 0

Path Path15 [Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0006 0.0006 0.0006 0

Path Path15 [Trave

lers]

Through

put

Number

Entered

Total 92.6 87 99 2.7847

Path Path15 [Trave

lers]

Through

put

Number

Exited

Total 92.6 87 99 2.7847

Path Path16 [Trave

lers]

Content Number

OnLink

Avg 0.0016 0.0015 0.0017 0.0000

Path Path16 [Trave

lers]

Content Number

OnLink

Max 1 1 1 0

Path Path16 [Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path16 [Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0019 0.0019 0.0019 0.0000

Path Path16 [Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0019 0.0019 0.0019 0

Path Path16 [Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0019 0.0019 0.0019 0

Path Path16 [Trave

lers]

Through

put

Number

Entered

Total 92.6 87 99 2.7847

Path Path16 [Trave

lers]

Through

put

Number

Exited

Total 92.6 87 99 2.7847

Path Path17 [Trave

lers]

Content Number

OnLink

Avg 0.0054 0.0052 0.0056 0.0001

Page 94: Risk Mitigation in the Supply Chain Caused by Multitple

81

Path Path17 [Trave

lers]

Content Number

OnLink

Max 1 1 1 0

Path Path17 [Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path17 [Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0005 0.0005 0.0005 0.0000

Path Path17 [Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0005 0.0005 0.0005 0

Path Path17 [Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0005 0.0005 0.0005 0

Path Path17 [Trave

lers]

Through

put

Number

Entered

Total 1368 1316 1406 19.9718

Path Path17 [Trave

lers]

Through

put

Number

Exited

Total 1367.9 1316 1406 19.9588

Path Path18 [Trave

lers]

Content Number

OnLink

Avg 0.0145 0.0141 0.0149 0.0002

Path Path18 [Trave

lers]

Content Number

OnLink

Max 1 1 1 0

Path Path18 [Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path18 [Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0012 0.0012 0.0012 0.0000

Path Path18 [Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0012 0.0012 0.0012 0

Path Path18 [Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0012 0.0012 0.0012 0

Path Path18 [Trave

lers]

Through

put

Number

Entered

Total 1383.3 1346 1417 17.0112

Path Path18 [Trave

lers]

Through

put

Number

Exited

Total 1383.3 1346 1417 17.0112

Path Path19 [Trave

lers]

Content Number

OnLink

Avg 0.0002 0.0002 0.0002 0.0000

Path Path19 [Trave Content Number Max 1 1 1 0

Page 95: Risk Mitigation in the Supply Chain Caused by Multitple

82

lers] OnLink

Path Path19 [Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path19 [Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0002 0.0002 0.0002 0.0000

Path Path19 [Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0002 0.0002 0.0002 0

Path Path19 [Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0002 0.0002 0.0002 0

Path Path19 [Trave

lers]

Through

put

Number

Entered

Total 115 115 115 0

Path Path19 [Trave

lers]

Through

put

Number

Exited

Total 115 115 115 0

Path Path2 [Trave

lers]

Content Number

OnLink

Avg 0.0038 0.0037 0.0039 0.0000

Path Path2 [Trave

lers]

Content Number

OnLink

Max 21.8 20 25 1.3821

Path Path2 [Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path2 [Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0003 0.0003 0.0003 0.0000

Path Path2 [Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0003 0.0003 0.0003 0

Path Path2 [Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0003 0.0003 0.0003 0

Path Path2 [Trave

lers]

Through

put

Number

Entered

Total 1396.2 1358 1428 16.3038

Path Path2 [Trave

lers]

Through

put

Number

Exited

Total 1382.9 1343 1415 17.1025

Path Path20 [Trave

lers]

Content Number

OnLink

Avg 0.0096 0.0091 0.0100 0.0002

Path Path20 [Trave

lers]

Content Number

OnLink

Max 37.5 33 41 1.8546

Page 96: Risk Mitigation in the Supply Chain Caused by Multitple

83

Path Path20 [Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path20 [Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0004 0.0004 0.0004 0.0000

Path Path20 [Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0004 0.0004 0.0004 0

Path Path20 [Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0004 0.0004 0.0004 0

Path Path20 [Trave

lers]

Through

put

Number

Entered

Total 2784.1 2640 2883 58.7370

Path Path20 [Trave

lers]

Through

put

Number

Exited

Total 2784.1 2640 2883 58.7370

Path Path21 [Trave

lers]

Content Number

OnLink

Avg 0.0171 0.0165 0.0176 0.0002

Path Path21 [Trave

lers]

Content Number

OnLink

Max 26.1 22 29 1.5977

Path Path21 [Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path21 [Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0014 0.0014 0.0014 0.0000

Path Path21 [Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0014 0.0014 0.0014 0

Path Path21 [Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0014 0.0014 0.0014 0

Path Path21 [Trave

lers]

Through

put

Number

Entered

Total 1385.9 1339 1423 18.6482

Path Path21 [Trave

lers]

Through

put

Number

Exited

Total 1385.9 1339 1423 18.6482

Path Path22 [Trave

lers]

Content Number

OnLink

Avg 0.0167 0.0160 0.0171 0.0002

Path Path22 [Trave

lers]

Content Number

OnLink

Max 2.2 2 3 0.3016

Path Path22 [Trave Content Number Min 0 0 0 0

Page 97: Risk Mitigation in the Supply Chain Caused by Multitple

84

lers] OnLink

Path Path22 [Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0014 0.0014 0.0014 0.0000

Path Path22 [Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0014 0.0014 0.0014 0

Path Path22 [Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0014 0.0014 0.0014 0

Path Path22 [Trave

lers]

Through

put

Number

Entered

Total 1368.6 1316 1407 20.3530

Path Path22 [Trave

lers]

Through

put

Number

Exited

Total 1368.7 1316 1407 20.2630

Path Path3 [Trave

lers]

Content Number

OnLink

Avg 0.0023 0.0023 0.0024 0.0000

Path Path3 [Trave

lers]

Content Number

OnLink

Max 1 1 1 0

Path Path3 [Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path3 [Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0002 0.0002 0.0002 0.0000

Path Path3 [Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0002 0.0002 0.0002 0

Path Path3 [Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0002 0.0002 0.0002 0

Path Path3 [Trave

lers]

Through

put

Number

Entered

Total 1382.9 1343 1415 17.1025

Path Path3 [Trave

lers]

Through

put

Number

Exited

Total 1382.9 1343 1415 17.1025

Path Path3_

1

[Trave

lers]

Content Number

Accumu

lated

Avg 22.8881 0 90.740 21.3525

Path Path3_

1

[Trave

lers]

Content Number

Accumu

lated

Max 83.2 1 218 49.7889

Page 98: Risk Mitigation in the Supply Chain Caused by Multitple

85

Path Path3_

1

[Trave

lers]

Content Number

Accumu

lated

Min 0 0 0 0

Path Path3_

1

[Trave

lers]

Content Number

OnLink

Avg 22.9003 0.0123 90.7526 21.3525

Path Path3_

1

[Trave

lers]

Content Number

OnLink

Max 83.2 1 218 49.7889

Path Path3_

1

[Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path3_

1

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.9031 0.0005 3.6010 0.8502

Path Path3_

1

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

3.1236 0.0005 8.7049 1.9530

Path Path3_

1

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0005 0.0005 0.0005 0.0000

Path Path3_

1

[Trave

lers]

Through

put

Number

Entered

Total 2850 2850 2850 0

Path Path3_

1

[Trave

lers]

Through

put

Number

Exited

Total 2793.6 2654 2850 47.6647

Path Path3_

2

[Trave

lers]

Content Number

OnLink

Avg 0.0006 0.0005 0.0006 0.0000

Path Path3_

2

[Trave

lers]

Content Number

OnLink

Max 1 1 1 0

Path Path3_

2

[Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path3_

2

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0007 0.0007 0.0007 0.0000

Path Path3_

2

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0007 0.0007 0.0007 0

Path Path3_

2

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0007 0.0007 0.0007 0

Path Path3_

2

[Trave

lers]

Through

put

Number

Entered

Total 95.3 92 99 1.7859

Page 99: Risk Mitigation in the Supply Chain Caused by Multitple

86

Path Path3_

2

[Trave

lers]

Through

put

Number

Exited

Total 94.5 91 98 1.7602

Path Path3_

3

[Trave

lers]

Content Number

OnLink

Avg 0.0330 0.0312 0.0340 0.0006

Path Path3_

3

[Trave

lers]

Content Number

OnLink

Max 1 1 1 0

Path Path3_

3

[Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path3_

3

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0014 0.0014 0.0014 0.0000

Path Path3_

3

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0014 0.0014 0.0014 0.0000

Path Path3_

3

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0014 0.0014 0.0014 0

Path Path3_

3

[Trave

lers]

Through

put

Number

Entered

Total 2785.8 2636 2867 54.5490

Path Path3_

3

[Trave

lers]

Through

put

Number

Exited

Total 2785.7 2635 2867 54.8112

Path Path4 [Trave

lers]

Content Number

OnLink

Avg 0.0017 0.0017 0.0017 0.0000

Path Path4 [Trave

lers]

Content Number

OnLink

Max 1 1 1 0

Path Path4 [Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path4 [Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0017 0.0017 0.0017 0.0000

Path Path4 [Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0017 0.0017 0.0017 0

Path Path4 [Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0017 0.0017 0.0017 0

Path Path4 [Trave

lers]

Through

put

Number

Entered

Total 116 116 116 0

Path Path4 [Trave Through Number Total 115 115 115 0

Page 100: Risk Mitigation in the Supply Chain Caused by Multitple

87

lers] put Exited

Path Path4_

1

[Trave

lers]

Content Number

OnLink

Avg 0.0008 0.0008 0.0008 0.0000

Path Path4_

1

[Trave

lers]

Content Number

OnLink

Max 1 1 1 0

Path Path4_

1

[Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path4_

1

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0008 0.0008 0.0008 0.0000

Path Path4_

1

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0008 0.0008 0.0008 0

Path Path4_

1

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0008 0.0008 0.0008 0

Path Path4_

1

[Trave

lers]

Through

put

Number

Entered

Total 116 116 116 0

Path Path4_

1

[Trave

lers]

Through

put

Number

Exited

Total 115 115 115 0

Path Path4_

2

[Trave

lers]

Content Number

OnLink

Avg 0.0085 0.0084 0.0086 0.0001

Path Path4_

2

[Trave

lers]

Content Number

OnLink

Max 1 1 1 0

Path Path4_

2

[Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path4_

2

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0006 0.0006 0.0006 0.0000

Path Path4_

2

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0006 0.0006 0.0006 0

Path Path4_

2

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0006 0.0006 0.0006 0

Path Path4_

2

[Trave

lers]

Through

put

Number

Entered

Total 1630 1600 1650 14.1060

Path Path4_

2

[Trave

lers]

Through

put

Number

Exited

Total 1630 1600 1650 14.1060

Page 101: Risk Mitigation in the Supply Chain Caused by Multitple

88

Path Path5 [Trave

lers]

Content Number

OnLink

Avg 0.0060 0.0059 0.0062 0.0001

Path Path5 [Trave

lers]

Content Number

OnLink

Max 2.1 2 3 0.2262

Path Path5 [Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path5 [Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0005 0.0005 0.0005 0.0000

Path Path5 [Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0005 0.0005 0.0005 0

Path Path5 [Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0005 0.0005 0.0005 0

Path Path5 [Trave

lers]

Through

put

Number

Entered

Total 1382.9 1343 1415 17.1025

Path Path5 [Trave

lers]

Through

put

Number

Exited

Total 1382.9 1343 1415 17.1025

Path Path5_

1

[Trave

lers]

Content Number

OnLink

Avg 0.0002 0.0002 0.0002 0.0000

Path Path5_

1

[Trave

lers]

Content Number

OnLink

Max 1 1 1 0

Path Path5_

1

[Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path5_

1

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0002 0.0002 0.0002 0.0000

Path Path5_

1

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0002 0.0002 0.0002 0

Path Path5_

1

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0002 0.0002 0.0002 0

Path Path5_

1

[Trave

lers]

Through

put

Number

Entered

Total 94.5 91 98 1.7602

Path Path5_

1

[Trave

lers]

Through

put

Number

Exited

Total 94.5 91 98 1.7602

Path Path5_ [Trave Content Number Avg 0.0142 0.0137 0.0145 0.0002

Page 102: Risk Mitigation in the Supply Chain Caused by Multitple

89

2 lers] OnLink

Path Path5_

2

[Trave

lers]

Content Number

OnLink

Max 1 1 1 0

Path Path5_

2

[Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path5_

2

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0012 0.0012 0.0012 0.0000

Path Path5_

2

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0012 0.0012 0.0012 0

Path Path5_

2

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0012 0.0012 0.0012 0

Path Path5_

2

[Trave

lers]

Through

put

Number

Entered

Total 1367.6 1317 1401 18.9619

Path Path5_

2

[Trave

lers]

Through

put

Number

Exited

Total 1367.6 1318 1401 18.7720

Path Path6 [Trave

lers]

Content Number

OnLink

Avg 0.0019 0.0019 0.0019 0

Path Path6 [Trave

lers]

Content Number

OnLink

Max 1 1 1 0

Path Path6 [Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path6 [Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0019 0.0019 0.0019 0

Path Path6 [Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0019 0.0019 0.0019 0

Path Path6 [Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0019 0.0019 0.0019 0

Path Path6 [Trave

lers]

Through

put

Number

Entered

Total 115 115 115 0

Path Path6 [Trave

lers]

Through

put

Number

Exited

Total 115 115 115 0

Path Path7_

1

[Trave

lers]

Content Number

OnLink

Avg 0.0034 0.0033 0.0035 0.0000

Page 103: Risk Mitigation in the Supply Chain Caused by Multitple

90

Path Path7_

1

[Trave

lers]

Content Number

OnLink

Max 26.5 23 32 2.3179

Path Path7_

1

[Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path7_

1

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0003 0.0003 0.0003 0

Path Path7_

1

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0003 0.0003 0.0003 0

Path Path7_

1

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0003 0.0003 0.0003 0

Path Path7_

1

[Trave

lers]

Through

put

Number

Entered

Total 1430.3 1374 1469 18.5706

Path Path7_

1

[Trave

lers]

Through

put

Number

Exited

Total 1430.3 1374 1469 18.5706

Path Path7_

2

[Trave

lers]

Content Number

OnLink

Avg 0.0255 0.0247 0.0259 0.0003

Path Path7_

2

[Trave

lers]

Content Number

OnLink

Max 2 2 2 0

Path Path7_

2

[Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path7_

2

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0020 0.0020 0.0020 0

Path Path7_

2

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0020 0.0020 0.0020 0

Path Path7_

2

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0020 0.0020 0.0020 0

Path Path7_

2

[Trave

lers]

Through

put

Number

Entered

Total 1438.7 1396 1464 14.8676

Path Path7_

2

[Trave

lers]

Through

put

Number

Exited

Total 1438.7 1396 1464 15.0500

Path Path8 [Trave

lers]

Content Number

OnLink

Avg 0.0074 0.0070 0.0077 0.0002

Path Path8 [Trave Content Number Max 1 1 1 0

Page 104: Risk Mitigation in the Supply Chain Caused by Multitple

91

lers] OnLink

Path Path8 [Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path8 [Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0003 0.0003 0.0003 0.0000

Path Path8 [Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0003 0.0003 0.0003 0

Path Path8 [Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0003 0.0003 0.0003 0

Path Path8 [Trave

lers]

Through

put

Number

Entered

Total 2784.6 2640 2883 58.3103

Path Path8 [Trave

lers]

Through

put

Number

Exited

Total 2784.6 2640 2883 58.3103

Path Path8_

1

[Trave

lers]

Content Number

OnLink

Avg 0.0003 0.0003 0.0003 0.0000

Path Path8_

1

[Trave

lers]

Content Number

OnLink

Max 1 1 1 0

Path Path8_

1

[Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path8_

1

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0004 0.0004 0.0004 0.0000

Path Path8_

1

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0004 0.0004 0.0004 0

Path Path8_

1

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0004 0.0004 0.0004 0

Path Path8_

1

[Trave

lers]

Through

put

Number

Entered

Total 95 92 98 1.6171

Path Path8_

1

[Trave

lers]

Through

put

Number

Exited

Total 95 92 98 1.6171

Path Path9_

1

[Trave

lers]

Content Number

OnLink

Avg 0.0089 0.0086 0.0092 0.0001

Path Path9_

1

[Trave

lers]

Content Number

OnLink

Max 1.8 1 2 0.3016

Page 105: Risk Mitigation in the Supply Chain Caused by Multitple

92

Path Path9_

1

[Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path9_

1

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0007 0.0007 0.0007 0.0000

Path Path9_

1

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0007 0.0007 0.0007 0

Path Path9_

1

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0007 0.0007 0.0007 0

Path Path9_

1

[Trave

lers]

Through

put

Number

Entered

Total 1430.3 1374 1469 18.5706

Path Path9_

1

[Trave

lers]

Through

put

Number

Exited

Total 1430.3 1374 1469 18.5706

Path Path9_

2

[Trave

lers]

Content Number

OnLink

Avg 0.0144 0.0140 0.0148 0.0002

Path Path9_

2

[Trave

lers]

Content Number

OnLink

Max 21.9 20 25 1.3676

Path Path9_

2

[Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Path Path9_

2

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

0.0012 0.0012 0.0012 0.0000

Path Path9_

2

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

0.0012 0.0012 0.0012 0

Path Path9_

2

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

0.0012 0.0012 0.0012 0

Path Path9_

2

[Trave

lers]

Through

put

Number

Entered

Total 1383.3 1346 1417 17.0112

Path Path9_

2

[Trave

lers]

Through

put

Number

Exited

Total 1383.3 1346 1417 17.0112

Separ

ator

Separat

or1

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

0 0 0 0

Separ

ator

Separat

or1

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 116 116 116 0

Page 106: Risk Mitigation in the Supply Chain Caused by Multitple

93

Separ

ator

Separat

or1

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Separ

ator

Separat

or1

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Separ

ator

Separat

or1

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Separ

ator

Separat

or1

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0 0 0 0

Separ

ator

Separat

or1

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Separ

ator

Separat

or1

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Separ

ator

Separat

or1

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

115 115 115 0

Separ

ator

Separat

or1

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

1 1 1 0

Separ

ator

Separat

or1

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

100 100 100 0

Separ

ator

Separat

or1

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

115 115 115 0

Separ

ator

Separat

or1

InputB

uffer

Through

put

Number

Entered

Total 116 116 116 0

Separ

ator

Separat

or1

InputB

uffer

Through

put

Number

Exited

Total 116 116 116 0

Separ

ator

Separat

or1

Memb

erOutp

utBuff

er

Through

put

Number

Entered

Total 1396.2 1358 1428 16.3038

Separ

ator

Separat

or1

Memb

erOutp

utBuff

er

Through

put

Number

Exited

Total 1396.2 1358 1428 16.3038

Separ Separat Parent

Output

Through Number Total 116 116 116 0

Page 107: Risk Mitigation in the Supply Chain Caused by Multitple

94

ator or1 Buffer put Entered

Separ

ator

Separat

or1

Parent

Output

Buffer

Through

put

Number

Exited

Total 116 116 116 0

Separ

ator

Separat

or1

Proces

sing

Through

put

Number

Entered

Total 116 116 116 0

Separ

ator

Separat

or1

Proces

sing

Through

put

Number

Exited

Total 116 116 116 0

Separ

ator

Separat

or1_1

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

0 0 0 0

Separ

ator

Separat

or1_1

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 115 115 115 0

Separ

ator

Separat

or1_1

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Separ

ator

Separat

or1_1

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Separ

ator

Separat

or1_1

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Separ

ator

Separat

or1_1

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0 0 0 0

Separ

ator

Separat

or1_1

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Separ

ator

Separat

or1_1

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Separ

ator

Separat

or1_1

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

115 115 115 0

Separ

ator

Separat

or1_1

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

1 1 1 0

Separ

ator

Separat

or1_1

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

100 100 100 0

Separ

ator

Separat

or1_1

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

115 115 115 0

Page 108: Risk Mitigation in the Supply Chain Caused by Multitple

95

)

Separ

ator

Separat

or1_1

InputB

uffer

Through

put

Number

Entered

Total 115 115 115 0

Separ

ator

Separat

or1_1

InputB

uffer

Through

put

Number

Exited

Total 115 115 115 0

Separ

ator

Separat

or1_1

Memb

erOutp

utBuff

er

Through

put

Number

Entered

Total 2784.1 2640 2883 58.7370

Separ

ator

Separat

or1_1

Memb

erOutp

utBuff

er

Through

put

Number

Exited

Total 2784.1 2640 2883 58.7370

Separ

ator

Separat

or1_1

Parent

Output

Buffer

Through

put

Number

Entered

Total 115 115 115 0

Separ

ator

Separat

or1_1

Parent

Output

Buffer

Through

put

Number

Exited

Total 115 115 115 0

Separ

ator

Separat

or1_1

Proces

sing

Through

put

Number

Entered

Total 115 115 115 0

Separ

ator

Separat

or1_1

Proces

sing

Through

put

Number

Exited

Total 115 115 115 0

Separ

ator

Separat

or1_2

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

0 0 0 0

Separ

ator

Separat

or1_2

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 94.5 91 98 1.7602

Separ

ator

Separat

or1_2

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Separ

ator

Separat

or1_2

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Separ

ator

Separat

or1_2

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Page 109: Risk Mitigation in the Supply Chain Caused by Multitple

96

Separ

ator

Separat

or1_2

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0 0 0 0

Separ

ator

Separat

or1_2

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Separ

ator

Separat

or1_2

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Separ

ator

Separat

or1_2

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

115 115 115 0

Separ

ator

Separat

or1_2

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

1 1 1 0

Separ

ator

Separat

or1_2

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

100 100 100 0

Separ

ator

Separat

or1_2

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

115 115 115 0

Separ

ator

Separat

or1_2

InputB

uffer

Through

put

Number

Entered

Total 94.5 91 98 1.7602

Separ

ator

Separat

or1_2

InputB

uffer

Through

put

Number

Exited

Total 94.5 91 98 1.7602

Separ

ator

Separat

or1_2

Memb

erOutp

utBuff

er

Through

put

Number

Entered

Total 1430.3 1374 1469 18.5706

Separ

ator

Separat

or1_2

Memb

erOutp

utBuff

er

Through

put

Number

Exited

Total 1430.3 1374 1469 18.5706

Separ

ator

Separat

or1_2

Parent

Output

Buffer

Through

put

Number

Entered

Total 94.5 91 98 1.7602

Separ

ator

Separat

or1_2

Parent

Output

Buffer

Through

put

Number

Exited

Total 94.5 91 98 1.7602

Separ

ator

Separat

or1_2

Proces

sing

Through

put

Number

Entered

Total 94.5 91 98 1.7602

Page 110: Risk Mitigation in the Supply Chain Caused by Multitple

97

Separ

ator

Separat

or1_2

Proces

sing

Through

put

Number

Exited

Total 94.5 91 98 1.7602

Separ

ator

Separat

or2

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

0 0 0 0

Separ

ator

Separat

or2

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 115 115 115 0

Separ

ator

Separat

or2

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Separ

ator

Separat

or2

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Separ

ator

Separat

or2

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Separ

ator

Separat

or2

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0 0 0 0

Separ

ator

Separat

or2

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Separ

ator

Separat

or2

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Separ

ator

Separat

or2

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

115 115 115 0

Separ

ator

Separat

or2

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

1 1 1 0

Separ

ator

Separat

or2

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

100 100 100 0

Separ

ator

Separat

or2

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

115 115 115 0

Separ

ator

Separat

or2

InputB

uffer

Through

put

Number

Entered

Total 115 115 115 0

Separ

ator

Separat

or2

InputB

uffer

Through

put

Number

Exited

Total 115 115 115 0

Separ Separat Memb

erOutp

Through Number Total 1383.3 1346 1417 17.0112

Page 111: Risk Mitigation in the Supply Chain Caused by Multitple

98

ator or2 utBuff

er

put Entered

Separ

ator

Separat

or2

Memb

erOutp

utBuff

er

Through

put

Number

Exited

Total 1383.3 1346 1417 17.0112

Separ

ator

Separat

or2

Parent

Output

Buffer

Through

put

Number

Entered

Total 115 115 115 0

Separ

ator

Separat

or2

Parent

Output

Buffer

Through

put

Number

Exited

Total 115 115 115 0

Separ

ator

Separat

or2

Proces

sing

Through

put

Number

Entered

Total 115 115 115 0

Separ

ator

Separat

or2

Proces

sing

Through

put

Number

Exited

Total 115 115 115 0

Separ

ator

Separat

or3

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

0 0 0 0

Separ

ator

Separat

or3

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 115.4 115 116 0.3694

Separ

ator

Separat

or3

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Separ

ator

Separat

or3

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Separ

ator

Separat

or3

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Separ

ator

Separat

or3

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0 0 0 0

Separ

ator

Separat

or3

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Separ

ator

Separat

or3

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Separ Separat [Resou Resourc TimeSta Avg 115 115 115 0

Page 112: Risk Mitigation in the Supply Chain Caused by Multitple

99

ator or3 rce] eState rved (Hrs)

Separ

ator

Separat

or3

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

1 1 1 0

Separ

ator

Separat

or3

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

100 100 100 0

Separ

ator

Separat

or3

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

115 115 115 0

Separ

ator

Separat

or3

InputB

uffer

Through

put

Number

Entered

Total 115.4 115 116 0.3694

Separ

ator

Separat

or3

InputB

uffer

Through

put

Number

Exited

Total 115.4 115 116 0.3694

Separ

ator

Separat

or3

Memb

erOutp

utBuff

er

Through

put

Number

Entered

Total 2788.8 2636 2892 56.3171

Separ

ator

Separat

or3

Memb

erOutp

utBuff

er

Through

put

Number

Exited

Total 2788.8 2636 2892 56.3171

Separ

ator

Separat

or3

Parent

Output

Buffer

Through

put

Number

Entered

Total 115.4 115 116 0.3694

Separ

ator

Separat

or3

Parent

Output

Buffer

Through

put

Number

Exited

Total 115.4 115 116 0.3694

Separ

ator

Separat

or3

Proces

sing

Through

put

Number

Entered

Total 115.4 115 116 0.3694

Separ

ator

Separat

or3

Proces

sing

Through

put

Number

Exited

Total 115.4 115 116 0.3694

Separ

ator

Separat

or4

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

0 0 0 0

Separ

ator

Separat

or4

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 95 92 98 1.6171

Page 113: Risk Mitigation in the Supply Chain Caused by Multitple

100

Separ

ator

Separat

or4

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Separ

ator

Separat

or4

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Separ

ator

Separat

or4

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Separ

ator

Separat

or4

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0 0 0 0

Separ

ator

Separat

or4

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Separ

ator

Separat

or4

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Separ

ator

Separat

or4

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

115 115 115 0

Separ

ator

Separat

or4

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

1 1 1 0

Separ

ator

Separat

or4

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

100 100 100 0

Separ

ator

Separat

or4

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

115 115 115 0

Separ

ator

Separat

or4

InputB

uffer

Through

put

Number

Entered

Total 95 92 98 1.6171

Separ

ator

Separat

or4

InputB

uffer

Through

put

Number

Exited

Total 95 92 98 1.6171

Separ

ator

Separat

or4

Memb

erOutp

utBuff

er

Through

put

Number

Entered

Total 1439.9 1396 1464 13.4307

Separ

ator

Separat

or4

Memb

erOutp

utBuff

er

Through

put

Number

Exited

Total 1439.9 1396 1464 13.4307

Separ Separat Parent

Output

Through Number Total 95 92 98 1.6171

Page 114: Risk Mitigation in the Supply Chain Caused by Multitple

101

ator or4 Buffer put Entered

Separ

ator

Separat

or4

Parent

Output

Buffer

Through

put

Number

Exited

Total 95 92 98 1.6171

Separ

ator

Separat

or4

Proces

sing

Through

put

Number

Entered

Total 95 92 98 1.6171

Separ

ator

Separat

or4

Proces

sing

Through

put

Number

Exited

Total 95 92 98 1.6171

Separ

ator

Separat

or5

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

0 0 0 0

Separ

ator

Separat

or5

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 92.6 87 99 2.7847

Separ

ator

Separat

or5

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Separ

ator

Separat

or5

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Separ

ator

Separat

or5

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Separ

ator

Separat

or5

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0 0 0 0

Separ

ator

Separat

or5

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Separ

ator

Separat

or5

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Separ

ator

Separat

or5

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

115 115 115 0

Separ

ator

Separat

or5

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

1 1 1 0

Separ

ator

Separat

or5

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

100 100 100 0

Separ

ator

Separat

or5

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

115 115 115 0

Page 115: Risk Mitigation in the Supply Chain Caused by Multitple

102

)

Separ

ator

Separat

or5

InputB

uffer

Through

put

Number

Entered

Total 92.6 87 99 2.7847

Separ

ator

Separat

or5

InputB

uffer

Through

put

Number

Exited

Total 92.6 87 99 2.7847

Separ

ator

Separat

or5

Memb

erOutp

utBuff

er

Through

put

Number

Entered

Total 1385.9 1339 1423 18.6482

Separ

ator

Separat

or5

Memb

erOutp

utBuff

er

Through

put

Number

Exited

Total 1385.9 1339 1423 18.6482

Separ

ator

Separat

or5

Parent

Output

Buffer

Through

put

Number

Entered

Total 92.6 87 99 2.7847

Separ

ator

Separat

or5

Parent

Output

Buffer

Through

put

Number

Exited

Total 92.6 87 99 2.7847

Separ

ator

Separat

or5

Proces

sing

Through

put

Number

Entered

Total 92.6 87 99 2.7847

Separ

ator

Separat

or5

Proces

sing

Through

put

Number

Exited

Total 92.6 87 99 2.7847

Serve

r

C1_rec

eived

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

4.0055 3.8892 4.1417 0.0549

Serve

r

C1_rec

eived

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 1383.3 1346 1417 17.0112

Serve

r

C1_rec

eived

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Serve

r

C1_rec

eived

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Serve

r

C1_rec

eived

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Page 116: Risk Mitigation in the Supply Chain Caused by Multitple

103

Serve

r

C1_rec

eived

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.0401 0.0389 0.0414 0.0005

Serve

r

C1_rec

eived

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Serve

r

C1_rec

eived

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Serve

r

C1_rec

eived

[Resou

rce]

Resourc

eState

TimePro

cessing

Avg

(Hrs)

0.0401 0.0389 0.0414 0.0005

Serve

r

C1_rec

eived

[Resou

rce]

Resourc

eState

TimePro

cessing

Occurr

ences

115 115 115 0

Serve

r

C1_rec

eived

[Resou

rce]

Resourc

eState

TimePro

cessing

Percen

t

4.0055 3.8892 4.1417 0.0549

Serve

r

C1_rec

eived

[Resou

rce]

Resourc

eState

TimePro

cessing

Total

(Hours

)

4.6063 4.4726 4.7630 0.0632

Serve

r

C1_rec

eived

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

0.9517 0.9503 0.9528 0.0005

Serve

r

C1_rec

eived

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

116 116 116 0

Serve

r

C1_rec

eived

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

95.9945 95.8583 96.1108 0.0549

Serve

r

C1_rec

eived

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

110.393

7

110.237

0

110.527

4

0.0632

Serve

r

C1_rec

eived

InputB

uffer

Content Number

InStatio

n

Avg 0.2424 0.2280 0.2594 0.0070

Serve

r

C1_rec

eived

InputB

uffer

Content Number

InStatio

n

Max 20.9 19 24 1.3676

Serve

r

C1_rec

eived

InputB

uffer

Content Number

InStatio

n

Min 0 0 0 0

Serve C1_rec InputB Holding TimeInS Avg 0.0201 0.0195 0.0211 0.0004

Page 117: Risk Mitigation in the Supply Chain Caused by Multitple

104

r eived uffer Time tation (Hrs)

Serve

r

C1_rec

eived

InputB

uffer

Holding

Time

TimeInS

tation

Max

(Hrs)

0.0698 0.0603 0.0841 0.0056

Serve

r

C1_rec

eived

InputB

uffer

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Serve

r

C1_rec

eived

InputB

uffer

Through

put

Number

Entered

Total 1383.3 1346 1417 17.0112

Serve

r

C1_rec

eived

InputB

uffer

Through

put

Number

Exited

Total 1383.3 1346 1417 17.0112

Serve

r

C1_rec

eived

Output

Buffer

Through

put

Number

Entered

Total 1383.3 1346 1417 17.0112

Serve

r

C1_rec

eived

Output

Buffer

Through

put

Number

Exited

Total 1383.3 1346 1417 17.0112

Serve

r

C1_rec

eived

Proces

sing

Content Number

InStatio

n

Avg 0.0401 0.0389 0.0414 0.0005

Serve

r

C1_rec

eived

Proces

sing

Content Number

InStatio

n

Max 1 1 1 0

Serve

r

C1_rec

eived

Proces

sing

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

C1_rec

eived

Proces

sing

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0033 0.0033 0.0034 0.0000

Serve

r

C1_rec

eived

Proces

sing

Holding

Time

TimeInS

tation

Max

(Hrs)

0.0049 0.0049 0.0050 0.0000

Serve

r

C1_rec

eived

Proces

sing

Holding

Time

TimeInS

tation

Min

(Hrs)

0.0017 0.0017 0.0018 0.0000

Serve

r

C1_rec

eived

Proces

sing

Through

put

Number

Entered

Total 1383.3 1346 1417 17.0112

Serve

r

C1_rec

eived

Proces

sing

Through

put

Number

Exited

Total 1383.3 1346 1417 17.0112

Serve C2_rec [Resou Capacit Schedul

edUtiliz

Percen 8.0832 7.6912 8.3355 0.1539

Page 118: Risk Mitigation in the Supply Chain Caused by Multitple

105

r eived rce] y ation t

Serve

r

C2_rec

eived

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 2785.9 2636 2868 54.5747

Serve

r

C2_rec

eived

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Serve

r

C2_rec

eived

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Serve

r

C2_rec

eived

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Serve

r

C2_rec

eived

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.0808 0.0769 0.0834 0.0015

Serve

r

C2_rec

eived

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Serve

r

C2_rec

eived

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Serve

r

C2_rec

eived

[Resou

rce]

Resourc

eState

TimePro

cessing

Avg

(Hrs)

0.0803 0.0769 0.0831 0.0016

Serve

r

C2_rec

eived

[Resou

rce]

Resourc

eState

TimePro

cessing

Occurr

ences

115.7 115 116 0.3455

Serve

r

C2_rec

eived

[Resou

rce]

Resourc

eState

TimePro

cessing

Percen

t

8.0832 7.6912 8.3355 0.1539

Serve

r

C2_rec

eived

[Resou

rce]

Resourc

eState

TimePro

cessing

Total

(Hours

)

9.2957 8.8449 9.5858 0.1770

Serve

r

C2_rec

eived

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

0.9113 0.9025 0.9200 0.0039

Serve

r

C2_rec

eived

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

116 115 117 0.4769

Serve

r

C2_rec

eived

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

91.9168 91.6645 92.3088 0.1539

Serve

r

C2_rec

eived

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

105.704

3

105.414

2

106.155

1

0.1770

Page 119: Risk Mitigation in the Supply Chain Caused by Multitple

106

Serve

r

C2_rec

eived

InputB

uffer

Content Number

InStatio

n

Avg 0.9769 0.8805 1.0459 0.0381

Serve

r

C2_rec

eived

InputB

uffer

Content Number

InStatio

n

Max 36.4 32 40 1.9429

Serve

r

C2_rec

eived

InputB

uffer

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

C2_rec

eived

InputB

uffer

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0403 0.0384 0.0418 0.0008

Serve

r

C2_rec

eived

InputB

uffer

Holding

Time

TimeInS

tation

Max

(Hrs)

0.1223 0.1117 0.1344 0.0057

Serve

r

C2_rec

eived

InputB

uffer

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Serve

r

C2_rec

eived

InputB

uffer

Through

put

Number

Entered

Total 2788.8 2636 2892 56.3171

Serve

r

C2_rec

eived

InputB

uffer

Through

put

Number

Exited

Total 2785.9 2636 2868 54.5747

Serve

r

C2_rec

eived

Output

Buffer

Through

put

Number

Entered

Total 2785.8 2636 2867 54.5490

Serve

r

C2_rec

eived

Output

Buffer

Through

put

Number

Exited

Total 2785.8 2636 2867 54.5490

Serve

r

C2_rec

eived

Proces

sing

Content Number

InStatio

n

Avg 0.0808 0.0769 0.0834 0.0015

Serve

r

C2_rec

eived

Proces

sing

Content Number

InStatio

n

Max 1 1 1 0

Serve

r

C2_rec

eived

Proces

sing

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

C2_rec

eived

Proces

sing

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0033 0.0033 0.0034 0.0000

Page 120: Risk Mitigation in the Supply Chain Caused by Multitple

107

Serve

r

C2_rec

eived

Proces

sing

Holding

Time

TimeInS

tation

Max

(Hrs)

0.0050 0.0049 0.0050 0.0000

Serve

r

C2_rec

eived

Proces

sing

Holding

Time

TimeInS

tation

Min

(Hrs)

0.0017 0.0017 0.0018 0.0000

Serve

r

C2_rec

eived

Proces

sing

Through

put

Number

Entered

Total 2785.9 2636 2868 54.5747

Serve

r

C2_rec

eived

Proces

sing

Through

put

Number

Exited

Total 2785.8 2636 2867 54.5490

Serve

r

C3_rec

eived

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

4.1620 4.0728 4.2493 0.0428

Serve

r

C3_rec

eived

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 1438.7 1396 1464 14.6906

Serve

r

C3_rec

eived

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Serve

r

C3_rec

eived

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Serve

r

C3_rec

eived

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Serve

r

C3_rec

eived

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.0416 0.0407 0.0425 0.0004

Serve

r

C3_rec

eived

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Serve

r

C3_rec

eived

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Serve

r

C3_rec

eived

[Resou

rce]

Resourc

eState

TimePro

cessing

Avg

(Hrs)

0.0503 0.0493 0.0512 0.0005

Serve

r

C3_rec

eived

[Resou

rce]

Resourc

eState

TimePro

cessing

Occurr

ences

95.1 92 98 1.7011

Serve

r

C3_rec

eived

[Resou

rce]

Resourc

eState

TimePro

cessing

Percen

t

4.1620 4.0728 4.2493 0.0428

Serve

r

C3_rec

eived

[Resou

rce]

Resourc

eState

TimePro

cessing

Total

(Hours

4.7863 4.6837 4.8867 0.0492

Page 121: Risk Mitigation in the Supply Chain Caused by Multitple

108

)

Serve

r

C3_rec

eived

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

1.1499 1.1128 1.1989 0.0214

Serve

r

C3_rec

eived

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

95.9 92 99 1.7342

Serve

r

C3_rec

eived

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

95.8380 95.7507 95.9272 0.0428

Serve

r

C3_rec

eived

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

110.213

7

110.113

3

110.316

3

0.0492

Serve

r

C3_rec

eived

InputB

uffer

Content Number

InStatio

n

Avg 0.3164 0.3058 0.3249 0.0038

Serve

r

C3_rec

eived

InputB

uffer

Content Number

InStatio

n

Max 25.5 22 31 2.3179

Serve

r

C3_rec

eived

InputB

uffer

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

C3_rec

eived

InputB

uffer

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0253 0.0248 0.0261 0.0003

Serve

r

C3_rec

eived

InputB

uffer

Holding

Time

TimeInS

tation

Max

(Hrs)

0.0857 0.0736 0.1050 0.0077

Serve

r

C3_rec

eived

InputB

uffer

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Serve

r

C3_rec

eived

InputB

uffer

Through

put

Number

Entered

Total 1439.9 1396 1464 13.4307

Serve

r

C3_rec

eived

InputB

uffer

Through

put

Number

Exited

Total 1438.7 1396 1464 14.6906

Serve

r

C3_rec

eived

Output

Buffer

Through

put

Number

Entered

Total 1438.7 1396 1464 14.8676

Serve

r

C3_rec

eived

Output

Buffer

Through

put

Number

Exited

Total 1438.7 1396 1464 14.8676

Page 122: Risk Mitigation in the Supply Chain Caused by Multitple

109

Serve

r

C3_rec

eived

Proces

sing

Content Number

InStatio

n

Avg 0.0416 0.0407 0.0425 0.0004

Serve

r

C3_rec

eived

Proces

sing

Content Number

InStatio

n

Max 1 1 1 0

Serve

r

C3_rec

eived

Proces

sing

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

C3_rec

eived

Proces

sing

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0033 0.0033 0.0034 0.0000

Serve

r

C3_rec

eived

Proces

sing

Holding

Time

TimeInS

tation

Max

(Hrs)

0.0050 0.0049 0.0050 0.0000

Serve

r

C3_rec

eived

Proces

sing

Holding

Time

TimeInS

tation

Min

(Hrs)

0.0017 0.0017 0.0017 0.0000

Serve

r

C3_rec

eived

Proces

sing

Through

put

Number

Entered

Total 1438.7 1396 1464 14.6906

Serve

r

C3_rec

eived

Proces

sing

Through

put

Number

Exited

Total 1438.7 1396 1464 14.8676

Serve

r

Process

ing

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

39.9695 38.4656 41.3030 0.6244

Serve

r

Process

ing

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 1382.9 1343 1415 17.1025

Serve

r

Process

ing

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Serve

r

Process

ing

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Serve

r

Process

ing

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Serve

r

Process

ing

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.3997 0.3847 0.4130 0.0062

Serve

r

Process

ing

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Page 123: Risk Mitigation in the Supply Chain Caused by Multitple

110

Serve

r

Process

ing

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Serve

r

Process

ing

[Resou

rce]

Resourc

eState

TimePro

cessing

Avg

(Hrs)

0.3997 0.3847 0.4130 0.0062

Serve

r

Process

ing

[Resou

rce]

Resourc

eState

TimePro

cessing

Occurr

ences

115 115 115 0

Serve

r

Process

ing

[Resou

rce]

Resourc

eState

TimePro

cessing

Percen

t

39.9695 38.4656 41.3030 0.6244

Serve

r

Process

ing

[Resou

rce]

Resourc

eState

TimePro

cessing

Total

(Hours

)

45.9649 44.2354 47.4985 0.7181

Serve

r

Process

ing

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

0.5951 0.5819 0.6100 0.0062

Serve

r

Process

ing

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

116 116 116 0

Serve

r

Process

ing

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

60.0305 58.6970 61.5344 0.6244

Serve

r

Process

ing

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

69.0351 67.5015 70.7646 0.7181

Serve

r

Process

ing

InputB

uffer

Content Number

InStatio

n

Avg 2.4175 2.2336 2.5804 0.0718

Serve

r

Process

ing

InputB

uffer

Content Number

InStatio

n

Max 20.8 19 24 1.3821

Serve

r

Process

ing

InputB

uffer

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

Process

ing

InputB

uffer

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.2010 0.1913 0.2097 0.0036

Serve

r

Process

ing

InputB

uffer

Holding

Time

TimeInS

tation

Max

(Hrs)

0.6981 0.6172 0.8385 0.0542

Serve Process InputB Holding TimeInS Min 0 0 0 0

Page 124: Risk Mitigation in the Supply Chain Caused by Multitple

111

r ing uffer Time tation (Hrs)

Serve

r

Process

ing

InputB

uffer

Through

put

Number

Entered

Total 1382.9 1343 1415 17.1025

Serve

r

Process

ing

InputB

uffer

Through

put

Number

Exited

Total 1382.9 1343 1415 17.1025

Serve

r

Process

ing

Output

Buffer

Through

put

Number

Entered

Total 1382.9 1343 1415 17.1025

Serve

r

Process

ing

Output

Buffer

Through

put

Number

Exited

Total 1382.9 1343 1415 17.1025

Serve

r

Process

ing

Proces

sing

Content Number

InStatio

n

Avg 0.3997 0.3847 0.4130 0.0062

Serve

r

Process

ing

Proces

sing

Content Number

InStatio

n

Max 1 1 1 0

Serve

r

Process

ing

Proces

sing

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

Process

ing

Proces

sing

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0332 0.0329 0.0336 0.0001

Serve

r

Process

ing

Proces

sing

Holding

Time

TimeInS

tation

Max

(Hrs)

0.0495 0.0488 0.0498 0.0002

Serve

r

Process

ing

Proces

sing

Holding

Time

TimeInS

tation

Min

(Hrs)

0.0171 0.0169 0.0175 0.0001

Serve

r

Process

ing

Proces

sing

Through

put

Number

Entered

Total 1382.9 1343 1415 17.1025

Serve

r

Process

ing

Proces

sing

Through

put

Number

Exited

Total 1382.9 1343 1415 17.1025

Serve

r

Process

ing_pro

d

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

39.5434 38.1573 40.5950 0.5562

Serve

r

Process

ing_pro

d

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 1367.8 1316 1405 19.7738

Page 125: Risk Mitigation in the Supply Chain Caused by Multitple

112

Serve

r

Process

ing_pro

d

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Serve

r

Process

ing_pro

d

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Serve

r

Process

ing_pro

d

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Serve

r

Process

ing_pro

d

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.3954 0.3816 0.4060 0.0056

Serve

r

Process

ing_pro

d

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Serve

r

Process

ing_pro

d

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Serve

r

Process

ing_pro

d

[Resou

rce]

Resourc

eState

TimePro

cessing

Avg

(Hrs)

0.4387 0.3698 0.5510 0.0420

Serve

r

Process

ing_pro

d

[Resou

rce]

Resourc

eState

TimePro

cessing

Occurr

ences

105.3 81 125 9.8889

Serve

r

Process

ing_pro

d

[Resou

rce]

Resourc

eState

TimePro

cessing

Percen

t

39.5434 38.1573 40.5950 0.5562

Serve

r

Process

ing_pro

d

[Resou

rce]

Resourc

eState

TimePro

cessing

Total

(Hours

)

45.4749 43.8809 46.6843 0.6397

Serve

r

Process

ing_pro

d

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

0.6751 0.5465 0.8796 0.0678

Serve

r

Process

ing_pro

d

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

104.7 80 125 9.8889

Page 126: Risk Mitigation in the Supply Chain Caused by Multitple

113

Serve

r

Process

ing_pro

d

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

60.4566 59.4050 61.8427 0.5562

Serve

r

Process

ing_pro

d

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

69.5251 68.3157 71.1191 0.6397

Serve

r

Process

ing_pro

d

InputB

uffer

Content Number

InStatio

n

Avg 1.9996 1.5060 2.4245 0.1945

Serve

r

Process

ing_pro

d

InputB

uffer

Content Number

InStatio

n

Max 20.5 12 27 2.9637

Serve

r

Process

ing_pro

d

InputB

uffer

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

Process

ing_pro

d

InputB

uffer

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.1681 0.1316 0.2075 0.0162

Serve

r

Process

ing_pro

d

InputB

uffer

Holding

Time

TimeInS

tation

Max

(Hrs)

0.6859 0.4153 0.9575 0.1035

Serve

r

Process

ing_pro

d

InputB

uffer

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Serve

r

Process

ing_pro

d

InputB

uffer

Through

put

Number

Entered

Total 1367.5 1317 1402 19.0458

Serve

r

Process

ing_pro

d

InputB

uffer

Through

put

Number

Exited

Total 1367.8 1316 1405 19.7738

Serve

r

Process

ing_pro

d

Output

Buffer

Through

put

Number

Entered

Total 1368 1316 1406 19.9718

Serve

r

Process

ing_pro

d

Output

Buffer

Through

put

Number

Exited

Total 1368 1316 1406 19.9718

Page 127: Risk Mitigation in the Supply Chain Caused by Multitple

114

Serve

r

Process

ing_pro

d

Proces

sing

Content Number

InStatio

n

Avg 0.3954 0.3816 0.4060 0.0056

Serve

r

Process

ing_pro

d

Proces

sing

Content Number

InStatio

n

Max 1 1 1 0

Serve

r

Process

ing_pro

d

Proces

sing

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

Process

ing_pro

d

Proces

sing

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0332 0.0331 0.0334 0.0001

Serve

r

Process

ing_pro

d

Proces

sing

Holding

Time

TimeInS

tation

Max

(Hrs)

0.0495 0.0488 0.0500 0.0003

Serve

r

Process

ing_pro

d

Proces

sing

Holding

Time

TimeInS

tation

Min

(Hrs)

0.0172 0.0169 0.0174 0.0002

Serve

r

Process

ing_pro

d

Proces

sing

Through

put

Number

Entered

Total 1367.8 1316 1405 19.7738

Serve

r

Process

ing_pro

d

Proces

sing

Through

put

Number

Exited

Total 1368 1316 1406 19.9718

Serve

r

Process

ing1

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

20.1772 19.1195 20.9182 0.4695

Serve

r

Process

ing1

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 2784.5 2640 2883 58.3941

Serve

r

Process

ing1

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Serve

r

Process

ing1

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Serve

r

Process

ing1

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Page 128: Risk Mitigation in the Supply Chain Caused by Multitple

115

Serve

r

Process

ing1

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.2018 0.1912 0.2092 0.0047

Serve

r

Process

ing1

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Serve

r

Process

ing1

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Serve

r

Process

ing1

[Resou

rce]

Resourc

eState

TimePro

cessing

Avg

(Hrs)

0.2062 0.1912 0.2322 0.0084

Serve

r

Process

ing1

[Resou

rce]

Resourc

eState

TimePro

cessing

Occurr

ences

112.7 103 115 2.5912

Serve

r

Process

ing1

[Resou

rce]

Resourc

eState

TimePro

cessing

Percen

t

20.1772 19.1195 20.9182 0.4695

Serve

r

Process

ing1

[Resou

rce]

Resourc

eState

TimePro

cessing

Total

(Hours

)

23.2037 21.9874 24.0559 0.5399

Serve

r

Process

ing1

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

0.8088 0.7874 0.8758 0.0183

Serve

r

Process

ing1

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

113.6 104 116 2.5945

Serve

r

Process

ing1

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

79.8228 79.0818 80.8805 0.4695

Serve

r

Process

ing1

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

91.7963 90.9441 93.0126 0.5399

Serve

r

Process

ing1

InputB

uffer

Content Number

InStatio

n

Avg 2.4970 2.1846 2.8640 0.1439

Serve

r

Process

ing1

InputB

uffer

Content Number

InStatio

n

Max 39.6 32 46 3.6349

Serve

r

Process

ing1

InputB

uffer

Content Number

InStatio

n

Min 0 0 0 0

Serve Process InputB Holding TimeInS Avg 0.1030 0.0952 0.1152 0.0040

Page 129: Risk Mitigation in the Supply Chain Caused by Multitple

116

r ing1 uffer Time tation (Hrs)

Serve

r

Process

ing1

InputB

uffer

Holding

Time

TimeInS

tation

Max

(Hrs)

0.3288 0.2742 0.3820 0.0255

Serve

r

Process

ing1

InputB

uffer

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Serve

r

Process

ing1

InputB

uffer

Through

put

Number

Entered

Total 2784.1 2640 2883 58.7370

Serve

r

Process

ing1

InputB

uffer

Through

put

Number

Exited

Total 2784.5 2640 2883 58.3941

Serve

r

Process

ing1

Output

Buffer

Through

put

Number

Entered

Total 2784.6 2640 2883 58.3103

Serve

r

Process

ing1

Output

Buffer

Through

put

Number

Exited

Total 2784.6 2640 2883 58.3103

Serve

r

Process

ing1

Proces

sing

Content Number

InStatio

n

Avg 0.2018 0.1912 0.2092 0.0047

Serve

r

Process

ing1

Proces

sing

Content Number

InStatio

n

Max 1 1 1 0

Serve

r

Process

ing1

Proces

sing

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

Process

ing1

Proces

sing

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0083 0.0082 0.0084 0.0000

Serve

r

Process

ing1

Proces

sing

Holding

Time

TimeInS

tation

Max

(Hrs)

0.0124 0.0123 0.0125 0.0000

Serve

r

Process

ing1

Proces

sing

Holding

Time

TimeInS

tation

Min

(Hrs)

0.0043 0.0042 0.0043 0.0000

Serve

r

Process

ing1

Proces

sing

Through

put

Number

Entered

Total 2784.5 2640 2883 58.3941

Serve

r

Process

ing1

Proces

sing

Through

put

Number

Exited

Total 2784.6 2640 2883 58.3103

Serve Process [Resou Capacit Schedul

edUtiliz

Percen 48.3035 46.2248 50.0139 0.7161

Page 130: Risk Mitigation in the Supply Chain Caused by Multitple

117

r ing2 rce] y ation t

Serve

r

Process

ing2

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 1430.3 1374 1469 18.5706

Serve

r

Process

ing2

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Serve

r

Process

ing2

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Serve

r

Process

ing2

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Serve

r

Process

ing2

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.4830 0.4622 0.5001 0.0072

Serve

r

Process

ing2

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Serve

r

Process

ing2

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Serve

r

Process

ing2

[Resou

rce]

Resourc

eState

TimePro

cessing

Avg

(Hrs)

0.5931 0.5777 0.6142 0.0095

Serve

r

Process

ing2

[Resou

rce]

Resourc

eState

TimePro

cessing

Occurr

ences

93.7 90 98 2.0246

Serve

r

Process

ing2

[Resou

rce]

Resourc

eState

TimePro

cessing

Percen

t

48.3035 46.2248 50.0139 0.7161

Serve

r

Process

ing2

[Resou

rce]

Resourc

eState

TimePro

cessing

Total

(Hours

)

55.5491 53.1586 57.5160 0.8236

Serve

r

Process

ing2

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

0.6285 0.5806 0.6650 0.0202

Serve

r

Process

ing2

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

94.7 91 99 2.0246

Serve

r

Process

ing2

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

51.6965 49.9861 53.7752 0.7161

Serve

r

Process

ing2

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

59.4509 57.4840 61.8414 0.8236

Page 131: Risk Mitigation in the Supply Chain Caused by Multitple

118

Serve

r

Process

ing2

InputB

uffer

Content Number

InStatio

n

Avg 3.6824 3.4320 3.8661 0.0910

Serve

r

Process

ing2

InputB

uffer

Content Number

InStatio

n

Max 25.5 22 31 2.3179

Serve

r

Process

ing2

InputB

uffer

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

Process

ing2

InputB

uffer

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.2961 0.2854 0.3116 0.0058

Serve

r

Process

ing2

InputB

uffer

Holding

Time

TimeInS

tation

Max

(Hrs)

1.0146 0.8534 1.2554 0.1054

Serve

r

Process

ing2

InputB

uffer

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Serve

r

Process

ing2

InputB

uffer

Through

put

Number

Entered

Total 1430.3 1374 1469 18.5706

Serve

r

Process

ing2

InputB

uffer

Through

put

Number

Exited

Total 1430.3 1374 1469 18.5706

Serve

r

Process

ing2

Output

Buffer

Through

put

Number

Entered

Total 1430.3 1374 1469 18.5706

Serve

r

Process

ing2

Output

Buffer

Through

put

Number

Exited

Total 1430.3 1374 1469 18.5706

Serve

r

Process

ing2

Proces

sing

Content Number

InStatio

n

Avg 0.4830 0.4622 0.5001 0.0072

Serve

r

Process

ing2

Proces

sing

Content Number

InStatio

n

Max 1 1 1 0

Serve

r

Process

ing2

Proces

sing

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

Process

ing2

Proces

sing

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0388 0.0386 0.0392 0.0001

Page 132: Risk Mitigation in the Supply Chain Caused by Multitple

119

Serve

r

Process

ing2

Proces

sing

Holding

Time

TimeInS

tation

Max

(Hrs)

0.0577 0.0573 0.0579 0.0001

Serve

r

Process

ing2

Proces

sing

Holding

Time

TimeInS

tation

Min

(Hrs)

0.0254 0.0251 0.0260 0.0002

Serve

r

Process

ing2

Proces

sing

Through

put

Number

Entered

Total 1430.3 1374 1469 18.5706

Serve

r

Process

ing2

Proces

sing

Through

put

Number

Exited

Total 1430.3 1374 1469 18.5706

Serve

r

Quality [Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

40.0764 37.0367 41.6787 1.1014

Serve

r

Quality [Resou

rce]

Capacit

y

UnitsAll

ocated

Total 1382.9 1343 1415 17.1025

Serve

r

Quality [Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Serve

r

Quality [Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Serve

r

Quality [Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Serve

r

Quality [Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.4008 0.3704 0.4168 0.0110

Serve

r

Quality [Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Serve

r

Quality [Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Serve

r

Quality [Resou

rce]

Resourc

eState

TimePro

cessing

Avg

(Hrs)

0.0859 0.0721 0.1060 0.0064

Serve

r

Quality [Resou

rce]

Resourc

eState

TimePro

cessing

Occurr

ences

540.2 451 591 27.5242

Serve

r

Quality [Resou

rce]

Resourc

eState

TimePro

cessing

Percen

t

40.0764 37.0367 41.6787 1.1014

Serve

r

Quality [Resou

rce]

Resourc

eState

TimePro

cessing

Total

(Hours

46.0879 42.5923 47.9305 1.2666

Page 133: Risk Mitigation in the Supply Chain Caused by Multitple

120

)

Serve

r

Quality [Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

0.1278 0.1199 0.1486 0.0060

Serve

r

Quality [Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

541.2 452 592 27.5242

Serve

r

Quality [Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

59.9236 58.3213 62.9633 1.1014

Serve

r

Quality [Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

68.9121 67.0695 72.4077 1.2666

Serve

r

Quality InputB

uffer

Content Number

InStatio

n

Avg 0.5292 0.4316 0.5956 0.0366

Serve

r

Quality InputB

uffer

Content Number

InStatio

n

Max 8.8 7 11 0.8121

Serve

r

Quality InputB

uffer

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

Quality InputB

uffer

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0440 0.0361 0.0507 0.0030

Serve

r

Quality InputB

uffer

Holding

Time

TimeInS

tation

Max

(Hrs)

0.3801 0.3391 0.4697 0.0357

Serve

r

Quality InputB

uffer

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Serve

r

Quality InputB

uffer

Through

put

Number

Entered

Total 1382.9 1343 1415 17.1025

Serve

r

Quality InputB

uffer

Through

put

Number

Exited

Total 1382.9 1343 1415 17.1025

Serve

r

Quality Output

Buffer

Through

put

Number

Entered

Total 1382.9 1343 1415 17.1025

Serve

r

Quality Output

Buffer

Through

put

Number

Exited

Total 1382.9 1343 1415 17.1025

Page 134: Risk Mitigation in the Supply Chain Caused by Multitple

121

Serve

r

Quality Proces

sing

Content Number

InStatio

n

Avg 0.4008 0.3704 0.4168 0.0110

Serve

r

Quality Proces

sing

Content Number

InStatio

n

Max 1 1 1 0

Serve

r

Quality Proces

sing

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

Quality Proces

sing

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0333 0.0310 0.0356 0.0009

Serve

r

Quality Proces

sing

Holding

Time

TimeInS

tation

Max

(Hrs)

0.2494 0.2052 0.3371 0.0257

Serve

r

Quality Proces

sing

Holding

Time

TimeInS

tation

Min

(Hrs)

0.0000 0.0000 0.0001 0.0000

Serve

r

Quality Proces

sing

Through

put

Number

Entered

Total 1382.9 1343 1415 17.1025

Serve

r

Quality Proces

sing

Through

put

Number

Exited

Total 1382.9 1343 1415 17.1025

Serve

r

quality

_oem

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

29.4209 27.8722 30.5954 0.6628

Serve

r

quality

_oem

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 1368.2 1316 1406 19.9797

Serve

r

quality

_oem

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Serve

r

quality

_oem

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Serve

r

quality

_oem

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Serve

r

quality

_oem

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.2942 0.2787 0.3060 0.0066

Serve

r

quality

_oem

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Page 135: Risk Mitigation in the Supply Chain Caused by Multitple

122

Serve

r

quality

_oem

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Serve

r

quality

_oem

[Resou

rce]

Resourc

eState

TimePro

cessing

Avg

(Hrs)

0.0442 0.0398 0.0524 0.0027

Serve

r

quality

_oem

[Resou

rce]

Resourc

eState

TimePro

cessing

Occurr

ences

769.4 664 842 33.9320

Serve

r

quality

_oem

[Resou

rce]

Resourc

eState

TimePro

cessing

Percen

t

29.4209 27.8722 30.5954 0.6628

Serve

r

quality

_oem

[Resou

rce]

Resourc

eState

TimePro

cessing

Total

(Hours

)

33.8340 32.0530 35.1847 0.7622

Serve

r

quality

_oem

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

0.1058 0.0968 0.1208 0.0046

Serve

r

quality

_oem

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

769.4 664 842 33.8817

Serve

r

quality

_oem

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

70.5791 69.4046 72.1278 0.6628

Serve

r

quality

_oem

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

81.1660 79.8153 82.9470 0.7622

Serve

r

quality

_oem

InputB

uffer

Content Number

InStatio

n

Avg 0.2166 0.1666 0.2955 0.0263

Serve

r

quality

_oem

InputB

uffer

Content Number

InStatio

n

Max 6.8 5 9 1.0556

Serve

r

quality

_oem

InputB

uffer

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

quality

_oem

InputB

uffer

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0182 0.0141 0.0252 0.0022

Serve

r

quality

_oem

InputB

uffer

Holding

Time

TimeInS

tation

Max

(Hrs)

0.2447 0.1572 0.3611 0.0456

Serve quality InputB Holding TimeInS Min 0 0 0 0

Page 136: Risk Mitigation in the Supply Chain Caused by Multitple

123

r _oem uffer Time tation (Hrs)

Serve

r

quality

_oem

InputB

uffer

Through

put

Number

Entered

Total 1367.9 1316 1406 19.9588

Serve

r

quality

_oem

InputB

uffer

Through

put

Number

Exited

Total 1368.2 1316 1406 19.9797

Serve

r

quality

_oem

Output

Buffer

Through

put

Number

Entered

Total 1368.6 1316 1407 20.3530

Serve

r

quality

_oem

Output

Buffer

Through

put

Number

Exited

Total 1368.6 1316 1407 20.3530

Serve

r

quality

_oem

Proces

sing

Content Number

InStatio

n

Avg 0.2942 0.2787 0.3060 0.0066

Serve

r

quality

_oem

Proces

sing

Content Number

InStatio

n

Max 1 1 1 0

Serve

r

quality

_oem

Proces

sing

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

quality

_oem

Proces

sing

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0247 0.0240 0.0258 0.0004

Serve

r

quality

_oem

Proces

sing

Holding

Time

TimeInS

tation

Max

(Hrs)

0.2097 0.1783 0.2652 0.0193

Serve

r

quality

_oem

Proces

sing

Holding

Time

TimeInS

tation

Min

(Hrs)

0.0000 0.0000 0.0000 0.0000

Serve

r

quality

_oem

Proces

sing

Through

put

Number

Entered

Total 1368.2 1316 1406 19.9797

Serve

r

quality

_oem

Proces

sing

Through

put

Number

Exited

Total 1368.6 1316 1407 20.3530

Serve

r

Quality

1

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

20.2123 19.2933 21.0430 0.4884

Serve

r

Quality

1

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 2785.2 2640 2883 57.8233

Page 137: Risk Mitigation in the Supply Chain Caused by Multitple

124

Serve

r

Quality

1

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Serve

r

Quality

1

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Serve

r

Quality

1

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Serve

r

Quality

1

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.2021 0.1929 0.2104 0.0049

Serve

r

Quality

1

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Serve

r

Quality

1

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Serve

r

Quality

1

[Resou

rce]

Resourc

eState

TimePro

cessing

Avg

(Hrs)

0.0291 0.0252 0.0345 0.0019

Serve

r

Quality

1

[Resou

rce]

Resourc

eState

TimePro

cessing

Occurr

ences

803 701 901 41.5768

Serve

r

Quality

1

[Resou

rce]

Resourc

eState

TimePro

cessing

Percen

t

20.2123 19.2933 21.0430 0.4884

Serve

r

Quality

1

[Resou

rce]

Resourc

eState

TimePro

cessing

Total

(Hours

)

23.2441 22.1873 24.1995 0.5616

Serve

r

Quality

1

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

0.1146 0.1012 0.1293 0.0056

Serve

r

Quality

1

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

803.9 702 902 41.5487

Serve

r

Quality

1

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

79.7877 78.9570 80.7067 0.4884

Serve

r

Quality

1

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

91.7559 90.8005 92.8127 0.5616

Serve

r

Quality

1

InputB

uffer

Content Number

InStatio

n

Avg 0.4304 0.3641 0.5037 0.0357

Page 138: Risk Mitigation in the Supply Chain Caused by Multitple

125

Serve

r

Quality

1

InputB

uffer

Content Number

InStatio

n

Max 13.1 12 15.000 0.7872

Serve

r

Quality

1

InputB

uffer

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

Quality

1

InputB

uffer

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0178 0.0151 0.0208 0.0014

Serve

r

Quality

1

InputB

uffer

Holding

Time

TimeInS

tation

Max

(Hrs)

0.1406 0.1039 0.1768 0.0151

Serve

r

Quality

1

InputB

uffer

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Serve

r

Quality

1

InputB

uffer

Through

put

Number

Entered

Total 2784.6 2640 2883 58.3103

Serve

r

Quality

1

InputB

uffer

Through

put

Number

Exited

Total 2785.2 2640 2883 57.8233

Serve

r

Quality

1

Output

Buffer

Through

put

Number

Entered

Total 2785.3 2640 2883 57.7448

Serve

r

Quality

1

Output

Buffer

Through

put

Number

Exited

Total 2785.3 2640 2883 57.7448

Serve

r

Quality

1

Proces

sing

Content Number

InStatio

n

Avg 0.2021 0.1929 0.2104 0.0049

Serve

r

Quality

1

Proces

sing

Content Number

InStatio

n

Max 1 1 1 0

Serve

r

Quality

1

Proces

sing

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

Quality

1

Proces

sing

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0083 0.0080 0.0087 0.0001

Serve

r

Quality

1

Proces

sing

Holding

Time

TimeInS

tation

Max

(Hrs)

0.0777 0.0549 0.1275 0.0138

Serve Quality Proces Holding TimeInS Min 0.0000 0.0000 0.0000 0.0000

Page 139: Risk Mitigation in the Supply Chain Caused by Multitple

126

r 1 sing Time tation (Hrs)

Serve

r

Quality

1

Proces

sing

Through

put

Number

Entered

Total 2785.2 2640 2883 57.8233

Serve

r

Quality

1

Proces

sing

Through

put

Number

Exited

Total 2785.3 2640 2883 57.7448

Serve

r

Quality

2

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

10.3820 9.9982 10.9593 0.2158

Serve

r

Quality

2

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 1430.3 1374 1469 18.5706

Serve

r

Quality

2

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Serve

r

Quality

2

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Serve

r

Quality

2

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Serve

r

Quality

2

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.1038 0.1000 0.1096 0.0022

Serve

r

Quality

2

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Serve

r

Quality

2

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Serve

r

Quality

2

[Resou

rce]

Resourc

eState

TimePro

cessing

Avg

(Hrs)

0.0084 0.0082 0.0088 0.0001

Serve

r

Quality

2

[Resou

rce]

Resourc

eState

TimePro

cessing

Occurr

ences

1413.8 1356 1455 18.6645

Serve

r

Quality

2

[Resou

rce]

Resourc

eState

TimePro

cessing

Percen

t

10.3820 9.9982 10.9593 0.2158

Serve

r

Quality

2

[Resou

rce]

Resourc

eState

TimePro

cessing

Total

(Hours

)

11.9393 11.4980 12.6032 0.2482

Serve

r

Quality

2

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

0.0729 0.0706 0.0762 0.0011

Page 140: Risk Mitigation in the Supply Chain Caused by Multitple

127

Serve

r

Quality

2

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

1414.8 1357 1456 18.6645

Serve

r

Quality

2

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

89.6180 89.0407 90.0018 0.2158

Serve

r

Quality

2

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

103.060

7

102.396

8

103.502

0

0.2482

Serve

r

Quality

2

InputB

uffer

Content Number

InStatio

n

Avg 0.0011 0.0005 0.0016 0.0002

Serve

r

Quality

2

InputB

uffer

Content Number

InStatio

n

Max 1.1 1 2 0.2262

Serve

r

Quality

2

InputB

uffer

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

Quality

2

InputB

uffer

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0001 0.0000 0.0001 0.0000

Serve

r

Quality

2

InputB

uffer

Holding

Time

TimeInS

tation

Max

(Hrs)

0.0263 0.0086 0.0470 0.0081

Serve

r

Quality

2

InputB

uffer

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Serve

r

Quality

2

InputB

uffer

Through

put

Number

Entered

Total 1430.3 1374 1469 18.5706

Serve

r

Quality

2

InputB

uffer

Through

put

Number

Exited

Total 1430.3 1374 1469 18.5706

Serve

r

Quality

2

Output

Buffer

Through

put

Number

Entered

Total 1430.3 1374 1469 18.5706

Serve

r

Quality

2

Output

Buffer

Through

put

Number

Exited

Total 1430.3 1374 1469 18.5706

Serve

r

Quality

2

Proces

sing

Content Number

InStatio

n

Avg 0.1038 0.1000 0.1096 0.0022

Serve Quality Proces Content Number

InStatio

Max 1 1 1 0

Page 141: Risk Mitigation in the Supply Chain Caused by Multitple

128

r 2 sing n

Serve

r

Quality

2

Proces

sing

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

Quality

2

Proces

sing

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0083 0.0081 0.0087 0.0001

Serve

r

Quality

2

Proces

sing

Holding

Time

TimeInS

tation

Max

(Hrs)

0.0651 0.0466 0.0830 0.0099

Serve

r

Quality

2

Proces

sing

Holding

Time

TimeInS

tation

Min

(Hrs)

0.0000 0.0000 0.0000 0.0000

Serve

r

Quality

2

Proces

sing

Through

put

Number

Entered

Total 1430.3 1374 1469 18.5706

Serve

r

Quality

2

Proces

sing

Through

put

Number

Exited

Total 1430.3 1374 1469 18.5706

Serve

r

wareho

use

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

4.4796 4.3207 4.6077 0.0614

Serve

r

wareho

use

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 1542 1500 1580 18.4075

Serve

r

wareho

use

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Serve

r

wareho

use

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Serve

r

wareho

use

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Serve

r

wareho

use

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.0448 0.0432 0.0461 0.0006

Serve

r

wareho

use

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Serve

r

wareho

use

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Serve

r

wareho

use

[Resou

rce]

Resourc

eState

TimePro

cessing

Avg

(Hrs)

0.0668 0.0663 0.0672 0.0002

Page 142: Risk Mitigation in the Supply Chain Caused by Multitple

129

Serve

r

wareho

use

[Resou

rce]

Resourc

eState

TimePro

cessing

Occurr

ences

77.1 75 79 0.9204

Serve

r

wareho

use

[Resou

rce]

Resourc

eState

TimePro

cessing

Percen

t

4.4796 4.3207 4.6077 0.0614

Serve

r

wareho

use

[Resou

rce]

Resourc

eState

TimePro

cessing

Total

(Hours

)

5.1515 4.9688 5.2989 0.0706

Serve

r

wareho

use

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

1.4069 1.3713 1.4478 0.0176

Serve

r

wareho

use

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

78.1 76 80 0.9204

Serve

r

wareho

use

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

95.5204 95.3923 95.6793 0.0614

Serve

r

wareho

use

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

109.848

5

109.701

1

110.031

2

0.0706

Serve

r

wareho

use

InputB

uffer

Content Number

InStatio

n

Avg 0.4257 0.4118 0.4391 0.0057

Serve

r

wareho

use

InputB

uffer

Content Number

InStatio

n

Max 19 19 19 0

Serve

r

wareho

use

InputB

uffer

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

wareho

use

InputB

uffer

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0317 0.0315 0.0320 0.0001

Serve

r

wareho

use

InputB

uffer

Holding

Time

TimeInS

tation

Max

(Hrs)

0.0709 0.0696 0.0738 0.0008

Serve

r

wareho

use

InputB

uffer

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Serve

r

wareho

use

InputB

uffer

Through

put

Number

Entered

Total 1542 1500 1580 18.4075

Serve wareho InputB Through Number Total 1542 1500 1580 18.4075

Page 143: Risk Mitigation in the Supply Chain Caused by Multitple

130

r use uffer put Exited

Serve

r

wareho

use

Output

Buffer

Content Number

InStatio

n

Avg 144.723

1

135.103

2

150.847

8

3.2182

Serve

r

wareho

use

Output

Buffer

Content Number

InStatio

n

Max 189.9 189 190 0.2262

Serve

r

wareho

use

Output

Buffer

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

wareho

use

Output

Buffer

Holding

Time

TimeInS

tation

Avg

(Hrs)

11.0981 10.1703 11.8376 0.3272

Serve

r

wareho

use

Output

Buffer

Holding

Time

TimeInS

tation

Max

(Hrs)

17.2047 15.9371 18.9511 0.6753

Serve

r

wareho

use

Output

Buffer

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Serve

r

wareho

use

Output

Buffer

Through

put

Number

Entered

Total 1542 1500 1580 18.4075

Serve

r

wareho

use

Output

Buffer

Through

put

Number

Exited

Total 1396.6 1359 1428 16.2773

Serve

r

wareho

use

Proces

sing

Content Number

InStatio

n

Avg 0.0448 0.0432 0.0461 0.0006

Serve

r

wareho

use

Proces

sing

Content Number

InStatio

n

Max 1 1 1 0

Serve

r

wareho

use

Proces

sing

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

wareho

use

Proces

sing

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0033 0.0033 0.0034 0.0000

Serve

r

wareho

use

Proces

sing

Holding

Time

TimeInS

tation

Max

(Hrs)

0.0049 0.0049 0.0050 0.0000

Serve wareho Proces Holding TimeInS Min 0.0017 0.0017 0.0018 0.0000

Page 144: Risk Mitigation in the Supply Chain Caused by Multitple

131

r use sing Time tation (Hrs)

Serve

r

wareho

use

Proces

sing

Through

put

Number

Entered

Total 1542 1500 1580 18.4075

Serve

r

wareho

use

Proces

sing

Through

put

Number

Exited

Total 1542 1500 1580 18.4075

Serve

r

wareho

use1

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

8.2649 8.2328 8.2893 0.0120

Serve

r

wareho

use1

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 2850 2850 2850 0

Serve

r

wareho

use1

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Serve

r

wareho

use1

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Serve

r

wareho

use1

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Serve

r

wareho

use1

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.0826 0.0823 0.0829 0.0001

Serve

r

wareho

use1

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Serve

r

wareho

use1

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Serve

r

wareho

use1

[Resou

rce]

Resourc

eState

TimePro

cessing

Avg

(Hrs)

0.1000 0.0997 0.1003 0.0001

Serve

r

wareho

use1

[Resou

rce]

Resourc

eState

TimePro

cessing

Occurr

ences

95 95 95 0

Serve

r

wareho

use1

[Resou

rce]

Resourc

eState

TimePro

cessing

Percen

t

8.2649 8.2328 8.2893 0.0120

Serve

r

wareho

use1

[Resou

rce]

Resourc

eState

TimePro

cessing

Total

(Hours

)

9.5047 9.4678 9.5327 0.0138

Serve

r

wareho

use1

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

1.0989 1.0986 1.0993 0.0001

Page 145: Risk Mitigation in the Supply Chain Caused by Multitple

132

Serve

r

wareho

use1

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

96 96 96 0

Serve

r

wareho

use1

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

91.7351 91.7107 91.7672 0.0120

Serve

r

wareho

use1

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

105.495

3

105.467

3

105.532

2

0.0138

Serve

r

wareho

use1

InputB

uffer

Content Number

InStatio

n

Avg 1.1965 1.1916 1.2010 0.0024

Serve

r

wareho

use1

InputB

uffer

Content Number

InStatio

n

Max 29 29 29 0

Serve

r

wareho

use1

InputB

uffer

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

wareho

use1

InputB

uffer

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0483 0.0481 0.0485 0.0001

Serve

r

wareho

use1

InputB

uffer

Holding

Time

TimeInS

tation

Max

(Hrs)

0.1055 0.1042 0.1077 0.0009

Serve

r

wareho

use1

InputB

uffer

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Serve

r

wareho

use1

InputB

uffer

Through

put

Number

Entered

Total 2850 2850 2850 0

Serve

r

wareho

use1

InputB

uffer

Through

put

Number

Exited

Total 2850 2850 2850 0

Serve

r

wareho

use1

Output

Buffer

Through

put

Number

Entered

Total 2850 2850 2850 0

Serve

r

wareho

use1

Output

Buffer

Through

put

Number

Exited

Total 2850 2850 2850 0

Serve

r

wareho

use1

Proces

sing

Content Number

InStatio

n

Avg 0.0826 0.0823 0.0829 0.0001

Serve wareho Proces Content Number

InStatio

Max 1 1 1 0

Page 146: Risk Mitigation in the Supply Chain Caused by Multitple

133

r use1 sing n

Serve

r

wareho

use1

Proces

sing

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

wareho

use1

Proces

sing

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0033 0.0033 0.0033 0.0000

Serve

r

wareho

use1

Proces

sing

Holding

Time

TimeInS

tation

Max

(Hrs)

0.0050 0.0049 0.0050 0.0000

Serve

r

wareho

use1

Proces

sing

Holding

Time

TimeInS

tation

Min

(Hrs)

0.0017 0.0017 0.0018 0.0000

Serve

r

wareho

use1

Proces

sing

Through

put

Number

Entered

Total 2850 2850 2850 0

Serve

r

wareho

use1

Proces

sing

Through

put

Number

Exited

Total 2850 2850 2850 0

Serve

r

wareho

use2

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

4.7073 4.6175 4.7778 0.0423

Serve

r

wareho

use2

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 1630 1600 1650 14.1060

Serve

r

wareho

use2

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Serve

r

wareho

use2

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Serve

r

wareho

use2

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Serve

r

wareho

use2

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.0471 0.0462 0.0478 0.0004

Serve

r

wareho

use2

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Serve

r

wareho

use2

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Serve

r

wareho

use2

[Resou

rce]

Resourc

eState

TimePro

cessing

Avg

(Hrs)

0.0830 0.0828 0.0832 0.0001

Page 147: Risk Mitigation in the Supply Chain Caused by Multitple

134

Serve

r

wareho

use2

[Resou

rce]

Resourc

eState

TimePro

cessing

Occurr

ences

65.2 64 66 0.5642

Serve

r

wareho

use2

[Resou

rce]

Resourc

eState

TimePro

cessing

Percen

t

4.7073 4.6175 4.7778 0.0423

Serve

r

wareho

use2

[Resou

rce]

Resourc

eState

TimePro

cessing

Total

(Hours

)

5.4134 5.3101 5.4945 0.0487

Serve

r

wareho

use2

[Resou

rce]

Resourc

eState

TimeSta

rved

Avg

(Hrs)

1.6556 1.6344 1.6875 0.0149

Serve

r

wareho

use2

[Resou

rce]

Resourc

eState

TimeSta

rved

Occurr

ences

66.2 65 67 0.5642

Serve

r

wareho

use2

[Resou

rce]

Resourc

eState

TimeSta

rved

Percen

t

95.2927 95.2222 95.3825 0.0423

Serve

r

wareho

use2

[Resou

rce]

Resourc

eState

TimeSta

rved

Total

(Hours

)

109.586

6

109.505

5

109.689

9

0.0487

Serve

r

wareho

use2

InputB

uffer

Content Number

InStatio

n

Avg 0.5646 0.5503 0.5726 0.0051

Serve

r

wareho

use2

InputB

uffer

Content Number

InStatio

n

Max 24 24 24 0

Serve

r

wareho

use2

InputB

uffer

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

wareho

use2

InputB

uffer

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0398 0.0396 0.0401 0.0001

Serve

r

wareho

use2

InputB

uffer

Holding

Time

TimeInS

tation

Max

(Hrs)

0.0869 0.0847 0.0889 0.0010

Serve

r

wareho

use2

InputB

uffer

Holding

Time

TimeInS

tation

Min

(Hrs)

0 0 0 0

Serve

r

wareho

use2

InputB

uffer

Through

put

Number

Entered

Total 1630 1600 1650 14.1060

Serve wareho InputB Through Number Total 1630 1600 1650 14.1060

Page 148: Risk Mitigation in the Supply Chain Caused by Multitple

135

r use2 uffer put Exited

Serve

r

wareho

use2

Output

Buffer

Through

put

Number

Entered

Total 1630 1600 1650 14.1060

Serve

r

wareho

use2

Output

Buffer

Through

put

Number

Exited

Total 1630 1600 1650 14.1060

Serve

r

wareho

use2

Proces

sing

Content Number

InStatio

n

Avg 0.0471 0.0462 0.0478 0.0004

Serve

r

wareho

use2

Proces

sing

Content Number

InStatio

n

Max 1 1 1 0

Serve

r

wareho

use2

Proces

sing

Content Number

InStatio

n

Min 0 0 0 0

Serve

r

wareho

use2

Proces

sing

Holding

Time

TimeInS

tation

Avg

(Hrs)

0.0033 0.0033 0.0033 0.0000

Serve

r

wareho

use2

Proces

sing

Holding

Time

TimeInS

tation

Max

(Hrs)

0.0050 0.0049 0.0050 0.0000

Serve

r

wareho

use2

Proces

sing

Holding

Time

TimeInS

tation

Min

(Hrs)

0.0017 0.0017 0.0018 0.0000

Serve

r

wareho

use2

Proces

sing

Through

put

Number

Entered

Total 1630 1600 1650 14.1060

Serve

r

wareho

use2

Proces

sing

Through

put

Number

Exited

Total 1630 1600 1650 14.1060

Sink Sink1 [Destr

oyedE

ntities]

FlowTi

me

TimeInS

ystem

Avg

(Hrs)

2.0655 1.9400 2.7039 0.1649

Sink Sink1 [Destr

oyedE

ntities]

FlowTi

me

TimeInS

ystem

Max

(Hrs)

3.0815 2.1661 4.7623 0.5287

Sink Sink1 [Destr

oyedE

ntities]

FlowTi

me

TimeInS

ystem

Min

(Hrs)

1.8335 1.8096 1.8773 0.0145

Sink Sink1 [Destr

oyedE

FlowTi TimeInS Obser

vation

115.4 115 116 0.3694

Page 149: Risk Mitigation in the Supply Chain Caused by Multitple

136

ntities] me ystem s

Sink Sink1 InputB

uffer

Through

put

Number

Entered

Total 115.4 115 116 0.3694

Sink Sink1 InputB

uffer

Through

put

Number

Exited

Total 115.4 115 116 0.3694

Sink Sink2 [Destr

oyedE

ntities]

FlowTi

me

TimeInS

ystem

Avg

(Hrs)

1.8016 1.7908 1.8187 0.0069

Sink Sink2 [Destr

oyedE

ntities]

FlowTi

me

TimeInS

ystem

Max

(Hrs)

2.2623 2.1093 2.4920 0.1048

Sink Sink2 [Destr

oyedE

ntities]

FlowTi

me

TimeInS

ystem

Min

(Hrs)

1.4440 1.3680 1.4886 0.0274

Sink Sink2 [Destr

oyedE

ntities]

FlowTi

me

TimeInS

ystem

Obser

vation

s

95 92 98 1.6171

Sink Sink2 InputB

uffer

Through

put

Number

Entered

Total 95 92 98 1.6171

Sink Sink2 InputB

uffer

Through

put

Number

Exited

Total 95 92 98 1.6171

Sink Sink3 [Destr

oyedE

ntities]

FlowTi

me

TimeInS

ystem

Avg

(Hrs)

14.4361 12.2795 18.2371 1.3268

Sink Sink3 [Destr

oyedE

ntities]

FlowTi

me

TimeInS

ystem

Max

(Hrs)

26.1042 21.0665 30.6754 2.4121

Sink Sink3 [Destr

oyedE

ntities]

FlowTi

me

TimeInS

ystem

Min

(Hrs)

2.9600 2.2805 4.3070 0.4270

Sink Sink3 [Destr

oyedE

ntities]

FlowTi

me

TimeInS

ystem

Obser

vation

s

91.5 87 97 2.2176

Sink Sink3 InputB

uffer

Through

put

Number

Entered

Total 91.5 87 97 2.2176

Page 150: Risk Mitigation in the Supply Chain Caused by Multitple

137

Sink Sink3 InputB

uffer

Through

put

Number

Exited

Total 91.5 87 97 2.2176

Sink Sink5 [Destr

oyedE

ntities]

FlowTi

me

TimeInS

ystem

Avg

(Hrs)

1.5031 1.4834 1.5211 0.0088

Sink Sink5 [Destr

oyedE

ntities]

FlowTi

me

TimeInS

ystem

Max

(Hrs)

1.9930 1.9068 2.1471 0.0613

Sink Sink5 [Destr

oyedE

ntities]

FlowTi

me

TimeInS

ystem

Min

(Hrs)

1.1680 1.1153 1.2049 0.0177

Sink Sink5 [Destr

oyedE

ntities]

FlowTi

me

TimeInS

ystem

Obser

vation

s

115 115 115 0

Sink Sink5 InputB

uffer

Through

put

Number

Entered

Total 115 115 115 0

Sink Sink5 InputB

uffer

Through

put

Number

Exited

Total 115 115 115 0

Sourc

e

comp1_

arrival

[Objec

t]

Costs TotalCo

st

Total

(USD)

1079.4 1050 1106 12.8852

Sourc

e

comp1_

arrival

Output

Buffer

Through

put

Number

Entered

Total 1542 1500 1580 18.4075

Sourc

e

comp1_

arrival

Output

Buffer

Through

put

Number

Exited

Total 1542 1500 1580 18.4075

Sourc

e

comp1_

arrival

Proces

sing

Through

put

Number

Entered

Total 1542 1500 1580 18.4075

Sourc

e

comp1_

arrival

Proces

sing

Through

put

Number

Exited

Total 1542 1500 1580 18.4075

Sourc

e

comp2_

arrival

[Objec

t]

Costs TotalCo

st

Total

(USD)

712.5 712.5 712.5 0

Sourc

e

comp2_

arrival

Output

Buffer

Through

put

Number

Entered

Total 2850 2850 2850 0

Sourc

e

comp2_

arrival

Output

Buffer

Through

put

Number

Exited

Total 2850 2850 2850 0

Page 151: Risk Mitigation in the Supply Chain Caused by Multitple

138

Sourc

e

comp2_

arrival

Proces

sing

Through

put

Number

Entered

Total 2850 2850 2850 0

Sourc

e

comp2_

arrival

Proces

sing

Through

put

Number

Exited

Total 2850 2850 2850 0

Sourc

e

comp3_

arrival

[Objec

t]

Costs TotalCo

st

Total

(USD)

815 800 825 7.0530

Sourc

e

comp3_

arrival

Output

Buffer

Through

put

Number

Entered

Total 1630 1600 1650 14.1060

Sourc

e

comp3_

arrival

Output

Buffer

Through

put

Number

Exited

Total 1630 1600 1650 14.1060

Sourc

e

comp3_

arrival

Proces

sing

Through

put

Number

Entered

Total 1630 1600 1650 14.1060

Sourc

e

comp3_

arrival

Proces

sing

Through

put

Number

Exited

Total 1630 1600 1650 14.1060

Sourc

e

Order_

arrival

Output

Buffer

Through

put

Number

Entered

Total 116 116 116 0

Sourc

e

Order_

arrival

Output

Buffer

Through

put

Number

Exited

Total 116 116 116 0

Sourc

e

Order_

arrival

Proces

sing

Through

put

Number

Entered

Total 116 116 116 0

Sourc

e

Order_

arrival

Proces

sing

Through

put

Number

Exited

Total 116 116 116 0

Sourc

e

Order_

Arrival

_C1

[Objec

t]

Costs TotalCo

st

Total

(USD)

2900 2900 2900 0

Sourc

e

Order_

Arrival

_C1

Output

Buffer

Through

put

Number

Entered

Total 116 116 116 0

Sourc

e

Order_

Arrival

_C1

Output

Buffer

Through

put

Number

Exited

Total 116 116 116 0

Sourc

e

Order_

Arrival

_C1

Proces

sing

Through

put

Number

Entered

Total 116 116 116 0

Page 152: Risk Mitigation in the Supply Chain Caused by Multitple

139

Sourc

e

Order_

Arrival

_C1

Proces

sing

Through

put

Number

Exited

Total 116 116 116 0

Sourc

e

Order_

Arrival

_C2

[Objec

t]

Costs TotalCo

st

Total

(USD)

3480 3480 3480 0

Sourc

e

Order_

Arrival

_C2

Output

Buffer

Through

put

Number

Entered

Total 116 116 116 0

Sourc

e

Order_

Arrival

_C2

Output

Buffer

Through

put

Number

Exited

Total 116 116 116 0

Sourc

e

Order_

Arrival

_C2

Proces

sing

Through

put

Number

Entered

Total 116 116 116 0

Sourc

e

Order_

Arrival

_C2

Proces

sing

Through

put

Number

Exited

Total 116 116 116 0

Sourc

e

Order_

Arrival

_C3

[Objec

t]

Costs TotalCo

st

Total

(USD)

1906 1840 1980 35.7176

Sourc

e

Order_

Arrival

_C3

Output

Buffer

Through

put

Number

Entered

Total 95.3 92 99 1.7859

Sourc

e

Order_

Arrival

_C3

Output

Buffer

Through

put

Number

Exited

Total 95.3 92 99 1.7859

Sourc

e

Order_

Arrival

_C3

Proces

sing

Through

put

Number

Entered

Total 95.3 92 99 1.7859

Sourc

e

Order_

Arrival

_C3

Proces

sing

Through

put

Number

Exited

Total 95.3 92 99 1.7859

Time

Path

TimePa

th1

[Trave

lers]

Content Number

OnLink

Avg 1.0561 1.0511 1.0599 0.0018

Page 153: Risk Mitigation in the Supply Chain Caused by Multitple

140

Time

Path

TimePa

th1

[Trave

lers]

Content Number

OnLink

Max 2.1 2 3 0.2262

Time

Path

TimePa

th1

[Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Time

Path

TimePa

th1

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

1.0563 1.0563 1.0563 0.0000

Time

Path

TimePa

th1

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

1.0563 1.0563 1.0563 0.0000

Time

Path

TimePa

th1

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

1.0563 1.0563 1.0563 0.0000

Time

Path

TimePa

th1

[Trave

lers]

Through

put

Number

Entered

Total 115 115 115 0

Time

Path

TimePa

th1

[Trave

lers]

Through

put

Number

Exited

Total 115 115 115 0

Time

Path

TimePa

th2

[Trave

lers]

Content Number

Accumu

lated

Avg 0.9999 0.9964 1.0064 0.0022

Time

Path

TimePa

th2

[Trave

lers]

Content Number

Accumu

lated

Max 2 2 2 0

Time

Path

TimePa

th2

[Trave

lers]

Content Number

Accumu

lated

Min 0 0 0 0

Time

Path

TimePa

th2

[Trave

lers]

Content Number

OnLink

Avg 2.0576 2.0538 2.0626 0.0018

Time

Path

TimePa

th2

[Trave

lers]

Content Number

OnLink

Max 3 3 3 0

Time

Path

TimePa

th2

[Trave

lers]

Content Number

OnLink

Min 1 1 1 0

Time

Path

TimePa

th2

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

2.0500 2.0225 2.0614 0.0079

Time

Path

TimePa

th2

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

6.2666 5.1920 8.1299 0.7456

Page 154: Risk Mitigation in the Supply Chain Caused by Multitple

141

Time

Path

TimePa

th2

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

1.0624 1.0580 1.0802 0.0048

Time

Path

TimePa

th2

[Trave

lers]

Through

put

Number

Entered

Total 115 115 115 0

Time

Path

TimePa

th2

[Trave

lers]

Through

put

Number

Exited

Total 115 115 115 0

Time

Path

TimePa

th3

[Trave

lers]

Content Number

OnLink

Avg 1.7538 1.7487 1.7610 0.0028

Time

Path

TimePa

th3

[Trave

lers]

Content Number

OnLink

Max 3 3 3 0

Time

Path

TimePa

th3

[Trave

lers]

Content Number

OnLink

Min 0.7 0 1 0.3455

Time

Path

TimePa

th3

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

1.7492 1.7492 1.7492 0.0000

Time

Path

TimePa

th3

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

1.7492 1.7492 1.7492 0.0000

Time

Path

TimePa

th3

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

1.7492 1.7492 1.7492 0.0000

Time

Path

TimePa

th3

[Trave

lers]

Through

put

Number

Entered

Total 115.1 115 116 0.2262

Time

Path

TimePa

th3

[Trave

lers]

Through

put

Number

Exited

Total 115.1 114 116 0.5278

Time

Path

TimePa

th4

[Trave

lers]

Content Number

Accumu

lated

Avg 0.5904 0.5599 0.6007 0.0081

Time

Path

TimePa

th4

[Trave

lers]

Content Number

Accumu

lated

Max 1.9 1 3 0.4060

Time

Path

TimePa

th4

[Trave

lers]

Content Number

Accumu

lated

Min 0 0 0 0

Time

Path

TimePa

th4

[Trave

lers]

Content Number

OnLink

Avg 2.3413 2.3136 2.3488 0.0074

Page 155: Risk Mitigation in the Supply Chain Caused by Multitple

142

Time

Path

TimePa

th4

[Trave

lers]

Content Number

OnLink

Max 3.3 3 4 0.3455

Time

Path

TimePa

th4

[Trave

lers]

Content Number

OnLink

Min 1.1 1 2 0.2262

Time

Path

TimePa

th4

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

2.3369 2.3044 2.3465 0.0086

Time

Path

TimePa

th4

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

4.2407 2.5406 6.8069 1.1615

Time

Path

TimePa

th4

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

1.7739 1.7483 1.9308 0.0424

Time

Path

TimePa

th4

[Trave

lers]

Through

put

Number

Entered

Total 115.4 115 116 0.3694

Time

Path

TimePa

th4

[Trave

lers]

Through

put

Number

Exited

Total 115 115 115 0

Time

Path

TimePa

th5

[Trave

lers]

Content Number

OnLink

Avg 1.0325 0.9922 1.0658 0.0186

Time

Path

TimePa

th5

[Trave

lers]

Content Number

OnLink

Max 2.2 2 3 0.3016

Time

Path

TimePa

th5

[Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Time

Path

TimePa

th5

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

1.2526 1.2526 1.2526 0.0000

Time

Path

TimePa

th5

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

1.2526 1.2526 1.2526 0

Time

Path

TimePa

th5

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

1.2526 1.2526 1.2526 0.0000

Time

Path

TimePa

th5

[Trave

lers]

Through

put

Number

Entered

Total 94.5 91 98 1.7602

Time

Path

TimePa

th5

[Trave

lers]

Through

put

Number

Exited

Total 95 91 98 1.8159

Time

Path

TimePa

th6

[Trave

lers]

Content Number

Accumu

lated

Avg 1.0188 0.9554 1.0998 0.0358

Page 156: Risk Mitigation in the Supply Chain Caused by Multitple

143

Time

Path

TimePa

th6

[Trave

lers]

Content Number

Accumu

lated

Max 3 3 3 0

Time

Path

TimePa

th6

[Trave

lers]

Content Number

Accumu

lated

Min 0 0 0 0

Time

Path

TimePa

th6

[Trave

lers]

Content Number

OnLink

Avg 2.0547 2.0245 2.0917 0.0170

Time

Path

TimePa

th6

[Trave

lers]

Content Number

OnLink

Max 3 3 3 0

Time

Path

TimePa

th6

[Trave

lers]

Content Number

OnLink

Min 1 1 1 0

Time

Path

TimePa

th6

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

2.4687 2.3316 2.6002 0.0648

Time

Path

TimePa

th6

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

6.8134 5.8486 7.5150 0.3850

Time

Path

TimePa

th6

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

1.3330 1.2534 1.4119 0.0376

Time

Path

TimePa

th6

[Trave

lers]

Through

put

Number

Entered

Total 95 92 98 1.6171

Time

Path

TimePa

th6

[Trave

lers]

Through

put

Number

Exited

Total 94.5 91 98 1.7602

Time

Path

TimePa

th7

[Trave

lers]

Content Number

OnLink

Avg 1.2096 1.1448 1.2615 0.0273

Time

Path

TimePa

th7

[Trave

lers]

Content Number

OnLink

Max 3 3 3 0

Time

Path

TimePa

th7

[Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Time

Path

TimePa

th7

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

1.5418 1.5418 1.5418 0.0000

Time

Path

TimePa

th7

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

1.5418 1.5418 1.5418 0.0000

Time TimePa [Trave FlowTi TimeOn Min 1.5418 1.5418 1.5418 0.0000

Page 157: Risk Mitigation in the Supply Chain Caused by Multitple

144

Path th7 lers] me Link (Hrs)

Time

Path

TimePa

th7

[Trave

lers]

Through

put

Number

Entered

Total 90.3 86 95 2.2124

Time

Path

TimePa

th7

[Trave

lers]

Through

put

Number

Exited

Total 90.4 85 95 2.1380

Time

Path

TimePa

th8

[Trave

lers]

Content Number

Accumu

lated

Avg 0.6360 0.5337 0.7600 0.0570

Time

Path

TimePa

th8

[Trave

lers]

Content Number

Accumu

lated

Max 2.3 2 3 0.3455

Time

Path

TimePa

th8

[Trave

lers]

Content Number

Accumu

lated

Min 0 0 0 0

Time

Path

TimePa

th8

[Trave

lers]

Content Number

OnLink

Avg 1.8502 1.7975 1.9049 0.0287

Time

Path

TimePa

th8

[Trave

lers]

Content Number

OnLink

Max 3 3 3 0

Time

Path

TimePa

th8

[Trave

lers]

Content Number

OnLink

Min 0 0 0 0

Time

Path

TimePa

th8

[Trave

lers]

FlowTi

me

TimeOn

Link

Avg

(Hrs)

2.3610 2.2005 2.5545 0.0936

Time

Path

TimePa

th8

[Trave

lers]

FlowTi

me

TimeOn

Link

Max

(Hrs)

7.5599 5.6462 10.5588 1.4048

Time

Path

TimePa

th8

[Trave

lers]

FlowTi

me

TimeOn

Link

Min

(Hrs)

1.5476 1.5476 1.5476 0.0000

Time

Path

TimePa

th8

[Trave

lers]

Through

put

Number

Entered

Total 90.3 85 95 2.0800

Time

Path

TimePa

th8

[Trave

lers]

Through

put

Number

Exited

Total 88.9 84 94 2.2982

Vehic

le

Vehicle

1

[Popul

ation]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

33.3271 33.1604 33.4530 0.0586

Page 158: Risk Mitigation in the Supply Chain Caused by Multitple

145

Vehic

le

Vehicle

1

[Popul

ation]

Capacit

y

UnitsAll

ocated

Total 115 115 115 0

Vehic

le

Vehicle

1

[Popul

ation]

Capacit

y

UnitsSc

heduled

Avg 3 3 3 0

Vehic

le

Vehicle

1

[Popul

ation]

Capacit

y

UnitsSc

heduled

Max 3 3 3 0

Vehic

le

Vehicle

1

[Popul

ation]

Capacit

y

UnitsSc

heduled

Min 3 3 3 0

Vehic

le

Vehicle

1

[Popul

ation]

Capacit

y

UnitsUti

lized

Avg 0.9998 0.9948 1.0036 0.0018

Vehic

le

Vehicle

1

[Popul

ation]

Capacit

y

UnitsUti

lized

Max 2 2 2 0

Vehic

le

Vehicle

1

[Popul

ation]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Vehic

le

Vehicle

1[1]

[Objec

t]

Travel Distance

Travele

d

Total

(Meter

s)

3280.31

78

3180.20

70

3494.72

98

65.2600

Vehic

le

Vehicle

1[1]

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

39.0167 37.7523 41.7391 0.8420

Vehic

le

Vehicle

1[1]

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 45.1 44 48 0.8564

Vehic

le

Vehicle

1[1]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Vehic

le

Vehicle

1[1]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Vehic

le

Vehicle

1[1]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Vehic

le

Vehicle

1[1]

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.3902 0.3775 0.4174 0.0084

Vehic

le

Vehicle

1[1]

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Vehic Vehicle [Resou Capacit UnitsUti Min 0 0 0 0

Page 159: Risk Mitigation in the Supply Chain Caused by Multitple

146

le 1[1] rce] y lized

Vehic

le

Vehicle

1[1]

[Resou

rce]

Resourc

eState

TimeIdl

e

Avg

(Hrs)

1.5369 1.3673 1.6269 0.0554

Vehic

le

Vehicle

1[1]

[Resou

rce]

Resourc

eState

TimeIdl

e

Occurr

ences

45.7 44 49 1.0690

Vehic

le

Vehicle

1[1]

[Resou

rce]

Resourc

eState

TimeIdl

e

Percen

t

60.9833 58.2609 62.2477 0.8420

Vehic

le

Vehicle

1[1]

[Resou

rce]

Resourc

eState

TimeIdl

e

Total

(Hours

)

70.1307 67.0000 71.5848 0.9683

Vehic

le

Vehicle

1[1]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Avg

(Hrs)

0.9948 0.9811 1 0.0052

Vehic

le

Vehicle

1[1]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Occurr

ences

45.1 44 48 0.8564

Vehic

le

Vehicle

1[1]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Percen

t

39.0167 37.7523 41.7391 0.8420

Vehic

le

Vehicle

1[1]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Total

(Hours

)

44.8693 43.4152 48 0.9683

Vehic

le

Vehicle

1[1]

RideSt

ation

Content Number

InStatio

n

Avg 0.3902 0.3775 0.4174 0.0084

Vehic

le

Vehicle

1[1]

RideSt

ation

Content Number

InStatio

n

Max 1 1 1 0

Vehic

le

Vehicle

1[1]

RideSt

ation

Content Number

InStatio

n

Min 0 0 0 0

Vehic

le

Vehicle

1[1]

RideSt

ation

Holding

Time

TimeInS

tation

Avg

(Hrs)

1 1 1 0.0000

Vehic

le

Vehicle

1[1]

RideSt

ation

Holding

Time

TimeInS

tation

Max

(Hrs)

1 1 1 0.0000

Page 160: Risk Mitigation in the Supply Chain Caused by Multitple

147

Vehic

le

Vehicle

1[1]

RideSt

ation

Holding

Time

TimeInS

tation

Min

(Hrs)

1 1 1 0.0000

Vehic

le

Vehicle

1[1]

RideSt

ation

Through

put

Number

Entered

Total 45.1 44 48 0.8564

Vehic

le

Vehicle

1[1]

RideSt

ation

Through

put

Number

Exited

Total 44.7 43 48 1.0690

Vehic

le

Vehicle

1[2]

[Objec

t]

Travel Distance

Travele

d

Total

(Meter

s)

2962.39

60

2743.65

00

3095.40

00

87.8254

Vehic

le

Vehicle

1[2]

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

35.4542 32.8473 37.0802 1.0985

Vehic

le

Vehicle

1[2]

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 40.4 37 42 1.3146

Vehic

le

Vehicle

1[2]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Vehic

le

Vehicle

1[2]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Vehic

le

Vehicle

1[2]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Vehic

le

Vehicle

1[2]

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.3545 0.3285 0.3708 0.0110

Vehic

le

Vehicle

1[2]

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Vehic

le

Vehicle

1[2]

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Vehic

le

Vehicle

1[2]

[Resou

rce]

Resourc

eState

TimeIdl

e

Avg

(Hrs)

1.8109 1.6827 2.0323 0.0885

Vehic

le

Vehicle

1[2]

[Resou

rce]

Resourc

eState

TimeIdl

e

Occurr

ences

41.1 38 43 1.2818

Vehic

le

Vehicle

1[2]

[Resou

rce]

Resourc

eState

TimeIdl

e

Percen

t

64.5458 62.9198 67.1527 1.0985

Vehic Vehicle [Resou Resourc TimeIdl Total

(Hours

74.2277 72.3578 77.2256 1.2633

Page 161: Risk Mitigation in the Supply Chain Caused by Multitple

148

le 1[2] rce] eState e )

Vehic

le

Vehicle

1[2]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Avg

(Hrs)

0.9849 0.9745 0.9941 0.0041

Vehic

le

Vehicle

1[2]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Occurr

ences

41.4 38 43 1.3146

Vehic

le

Vehicle

1[2]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Percen

t

35.4542 32.8473 37.0802 1.0985

Vehic

le

Vehicle

1[2]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Total

(Hours

)

40.7723 37.7744 42.6422 1.2633

Vehic

le

Vehicle

1[2]

RideSt

ation

Content Number

InStatio

n

Avg 0.3545 0.3285 0.3708 0.0110

Vehic

le

Vehicle

1[2]

RideSt

ation

Content Number

InStatio

n

Max 1 1 1 0

Vehic

le

Vehicle

1[2]

RideSt

ation

Content Number

InStatio

n

Min 0 0 0 0

Vehic

le

Vehicle

1[2]

RideSt

ation

Holding

Time

TimeInS

tation

Avg

(Hrs)

1 1 1 0.0000

Vehic

le

Vehicle

1[2]

RideSt

ation

Holding

Time

TimeInS

tation

Max

(Hrs)

1 1 1 0.0000

Vehic

le

Vehicle

1[2]

RideSt

ation

Holding

Time

TimeInS

tation

Min

(Hrs)

1 1 1 0.0000

Vehic

le

Vehicle

1[2]

RideSt

ation

Through

put

Number

Entered

Total 40.4 37 42 1.3146

Vehic

le

Vehicle

1[2]

RideSt

ation

Through

put

Number

Exited

Total 41.1 38 43 1.2818

Vehic

le

Vehicle

1[3]

[Objec

t]

Travel Distance

Travele

d

Total

(Meter

s)

2125.71

32

2025.01

45

2312.35

06

61.2578

Page 162: Risk Mitigation in the Supply Chain Caused by Multitple

149

Vehic

le

Vehicle

1[3]

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

25.5105 24.3478 27.8261 0.7569

Vehic

le

Vehicle

1[3]

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 29.5 28 32 0.9079

Vehic

le

Vehicle

1[3]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Vehic

le

Vehicle

1[3]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Vehic

le

Vehicle

1[3]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Vehic

le

Vehicle

1[3]

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.2551 0.2435 0.2783 0.0076

Vehic

le

Vehicle

1[3]

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Vehic

le

Vehicle

1[3]

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Vehic

le

Vehicle

1[3]

[Resou

rce]

Resourc

eState

TimeIdl

e

Avg

(Hrs)

2.8420 2.5152 3 0.1070

Vehic

le

Vehicle

1[3]

[Resou

rce]

Resourc

eState

TimeIdl

e

Occurr

ences

30.2 29 33 0.8793

Vehic

le

Vehicle

1[3]

[Resou

rce]

Resourc

eState

TimeIdl

e

Percen

t

74.4895 72.1739 75.6522 0.7569

Vehic

le

Vehicle

1[3]

[Resou

rce]

Resourc

eState

TimeIdl

e

Total

(Hours

)

85.6630 83 87 0.8704

Vehic

le

Vehicle

1[3]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Avg

(Hrs)

0.9946 0.9782 1 0.0064

Vehic

le

Vehicle

1[3]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Occurr

ences

29.5 28 32 0.9079

Vehic

le

Vehicle

1[3]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

Percen

t

25.5105 24.3478 27.8261 0.7569

Page 163: Risk Mitigation in the Supply Chain Caused by Multitple

150

g

Vehic

le

Vehicle

1[3]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Total

(Hours

)

29.3370 28 32 0.8704

Vehic

le

Vehicle

1[3]

RideSt

ation

Content Number

InStatio

n

Avg 0.2551 0.2435 0.2783 0.0076

Vehic

le

Vehicle

1[3]

RideSt

ation

Content Number

InStatio

n

Max 1 1 1 0

Vehic

le

Vehicle

1[3]

RideSt

ation

Content Number

InStatio

n

Min 0 0 0 0

Vehic

le

Vehicle

1[3]

RideSt

ation

Holding

Time

TimeInS

tation

Avg

(Hrs)

1 1 1 0.0000

Vehic

le

Vehicle

1[3]

RideSt

ation

Holding

Time

TimeInS

tation

Max

(Hrs)

1 1 1 0.0000

Vehic

le

Vehicle

1[3]

RideSt

ation

Holding

Time

TimeInS

tation

Min

(Hrs)

1 1 1 0

Vehic

le

Vehicle

1[3]

RideSt

ation

Through

put

Number

Entered

Total 29.5 28 32 0.9079

Vehic

le

Vehicle

1[3]

RideSt

ation

Through

put

Number

Exited

Total 29.2 28 32 0.8793

Vehic

le

Vehicle

2

[Popul

ation]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

42.7266 42.4873 43.1875 0.1505

Vehic

le

Vehicle

2

[Popul

ation]

Capacit

y

UnitsAll

ocated

Total 115.1 115 116 0.2262

Vehic

le

Vehicle

2

[Popul

ation]

Capacit

y

UnitsSc

heduled

Avg 4 4 4 0

Vehic

le

Vehicle

2

[Popul

ation]

Capacit

y

UnitsSc

heduled

Max 4 4 4 0

Vehic

le

Vehicle

2

[Popul

ation]

Capacit

y

UnitsSc

heduled

Min 4 4 4 0

Page 164: Risk Mitigation in the Supply Chain Caused by Multitple

151

Vehic

le

Vehicle

2

[Popul

ation]

Capacit

y

UnitsUti

lized

Avg 1.7091 1.6995 1.7275 0.0060

Vehic

le

Vehicle

2

[Popul

ation]

Capacit

y

UnitsUti

lized

Max 2.9 2 3 0.2262

Vehic

le

Vehicle

2

[Popul

ation]

Capacit

y

UnitsUti

lized

Min 0.7 0 1 0.3455

Vehic

le

Vehicle

2[1]

[Objec

t]

Travel Distance

Travele

d

Total

(Meter

s)

4270.95

51

4184.10

00

4553.67

04

78.7016

Vehic

le

Vehicle

2[1]

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

43.3753 42.1521 46.4267 0.8650

Vehic

le

Vehicle

2[1]

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 28.9 28 31 0.6263

Vehic

le

Vehicle

2[1]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Vehic

le

Vehicle

2[1]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Vehic

le

Vehicle

2[1]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Vehic

le

Vehicle

2[1]

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.4338 0.4215 0.4643 0.0087

Vehic

le

Vehicle

2[1]

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Vehic

le

Vehicle

2[1]

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Vehic

le

Vehicle

2[1]

[Resou

rce]

Resourc

eState

TimeIdl

e

Avg

(Hrs)

2.1882 1.9253 2.2940 0.0779

Vehic

le

Vehicle

2[1]

[Resou

rce]

Resourc

eState

TimeIdl

e

Occurr

ences

29.8 29 32 0.6573

Vehic

le

Vehicle

2[1]

[Resou

rce]

Resourc

eState

TimeIdl

e

Percen

t

56.6247 53.5733 57.8479 0.8650

Vehic Vehicle [Resou Resourc TimeIdl Total

(Hours

65.1184 61.6093 66.5251 0.9948

Page 165: Risk Mitigation in the Supply Chain Caused by Multitple

152

le 2[1] rce] eState e )

Vehic

le

Vehicle

2[1]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Avg

(Hrs)

1.6684 1.6352 1.7027 0.0122

Vehic

le

Vehicle

2[1]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Occurr

ences

29.9 29 32 0.6263

Vehic

le

Vehicle

2[1]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Percen

t

43.3753 42.1521 46.4267 0.8650

Vehic

le

Vehicle

2[1]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Total

(Hours

)

49.8816 48.4749 53.3907 0.9948

Vehic

le

Vehicle

2[1]

RideSt

ation

Content Number

InStatio

n

Avg 0.4333 0.4215 0.4638 0.0085

Vehic

le

Vehicle

2[1]

RideSt

ation

Content Number

InStatio

n

Max 1 1 1 0

Vehic

le

Vehicle

2[1]

RideSt

ation

Content Number

InStatio

n

Min 0 0 0 0

Vehic

le

Vehicle

2[1]

RideSt

ation

Holding

Time

TimeInS

tation

Avg

(Hrs)

1.7000 1.7000 1.7000 0.0000

Vehic

le

Vehicle

2[1]

RideSt

ation

Holding

Time

TimeInS

tation

Max

(Hrs)

1.7000 1.7000 1.7000 0

Vehic

le

Vehicle

2[1]

RideSt

ation

Holding

Time

TimeInS

tation

Min

(Hrs)

1.7000 1.7000 1.7000 0.0000

Vehic

le

Vehicle

2[1]

RideSt

ation

Through

put

Number

Entered

Total 28.9 28 31 0.6263

Vehic

le

Vehicle

2[1]

RideSt

ation

Through

put

Number

Exited

Total 29.8 29 32 0.6573

Vehic

le

Vehicle

2[2]

[Objec

t]

Travel Distance

Travele

d

Total

(Meter

s)

4201.90

46

4155.65

21

4371.45

72

47.1802

Page 166: Risk Mitigation in the Supply Chain Caused by Multitple

153

Vehic

le

Vehicle

2[2]

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

43.5629 42.8696 46.0222 0.8638

Vehic

le

Vehicle

2[2]

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 29.2 29 30 0.3016

Vehic

le

Vehicle

2[2]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Vehic

le

Vehicle

2[2]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Vehic

le

Vehicle

2[2]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Vehic

le

Vehicle

2[2]

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.4356 0.4287 0.4602 0.0086

Vehic

le

Vehicle

2[2]

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Vehic

le

Vehicle

2[2]

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Vehic

le

Vehicle

2[2]

[Resou

rce]

Resourc

eState

TimeIdl

e

Avg

(Hrs)

2.1567 2.0251 2.1900 0.0433

Vehic

le

Vehicle

2[2]

[Resou

rce]

Resourc

eState

TimeIdl

e

Occurr

ences

30.1 30 31 0.2262

Vehic

le

Vehicle

2[2]

[Resou

rce]

Resourc

eState

TimeIdl

e

Percen

t

56.4371 53.9778 57.1304 0.8638

Vehic

le

Vehicle

2[2]

[Resou

rce]

Resourc

eState

TimeIdl

e

Total

(Hours

)

64.9027 62.0745 65.7000 0.9934

Vehic

le

Vehicle

2[2]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Avg

(Hrs)

1.7097 1.7000 1.7492 0.0135

Vehic

le

Vehicle

2[2]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Occurr

ences

29.3 29 31 0.4828

Vehic

le

Vehicle

2[2]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

Percen

t

43.5629 42.8696 46.0222 0.8638

Page 167: Risk Mitigation in the Supply Chain Caused by Multitple

154

g

Vehic

le

Vehicle

2[2]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Total

(Hours

)

50.0973 49.3000 52.9255 0.9934

Vehic

le

Vehicle

2[2]

RideSt

ation

Content Number

InStatio

n

Avg 0.4327 0.4287 0.4535 0.0062

Vehic

le

Vehicle

2[2]

RideSt

ation

Content Number

InStatio

n

Max 1 1 1 0

Vehic

le

Vehicle

2[2]

RideSt

ation

Content Number

InStatio

n

Min 0 0 0 0

Vehic

le

Vehicle

2[2]

RideSt

ation

Holding

Time

TimeInS

tation

Avg

(Hrs)

1.7000 1.7000 1.7000 0.0000

Vehic

le

Vehicle

2[2]

RideSt

ation

Holding

Time

TimeInS

tation

Max

(Hrs)

1.7000 1.7000 1.7000 0

Vehic

le

Vehicle

2[2]

RideSt

ation

Holding

Time

TimeInS

tation

Min

(Hrs)

1.7000 1.7000 1.7000 0

Vehic

le

Vehicle

2[2]

RideSt

ation

Through

put

Number

Entered

Total 29.2 29 30 0.3016

Vehic

le

Vehicle

2[2]

RideSt

ation

Through

put

Number

Exited

Total 29.2 29 30 0.3016

Vehic

le

Vehicle

2[3]

[Objec

t]

Travel Distance

Travele

d

Total

(Meter

s)

4126.18

90

4039.97

91

4159.88

30

26.1941

Vehic

le

Vehicle

2[3]

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

42.8033 41.4096 43.4078 0.3713

Vehic

le

Vehicle

2[3]

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 28.9 28 29 0.2262

Vehic

le

Vehicle

2[3]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Vehic Vehicle [Resou Capacit UnitsSc Max 1 1 1 0

Page 168: Risk Mitigation in the Supply Chain Caused by Multitple

155

le 2[3] rce] y heduled

Vehic

le

Vehicle

2[3]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Vehic

le

Vehicle

2[3]

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.4280 0.4141 0.4341 0.0037

Vehic

le

Vehicle

2[3]

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Vehic

le

Vehicle

2[3]

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Vehic

le

Vehicle

2[3]

[Resou

rce]

Resourc

eState

TimeIdl

e

Avg

(Hrs)

2.2078 2.1819 2.3234 0.0317

Vehic

le

Vehicle

2[3]

[Resou

rce]

Resourc

eState

TimeIdl

e

Occurr

ences

29.8 29 30 0.3016

Vehic

le

Vehicle

2[3]

[Resou

rce]

Resourc

eState

TimeIdl

e

Percen

t

57.1967 56.5922 58.5904 0.3713

Vehic

le

Vehicle

2[3]

[Resou

rce]

Resourc

eState

TimeIdl

e

Total

(Hours

)

65.7763 65.0810 67.3790 0.4269

Vehic

le

Vehicle

2[3]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Avg

(Hrs)

1.7032 1.7000 1.7213 0.0049

Vehic

le

Vehicle

2[3]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Occurr

ences

28.9 28 29 0.2262

Vehic

le

Vehicle

2[3]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Percen

t

42.8033 41.4096 43.4078 0.3713

Vehic

le

Vehicle

2[3]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Total

(Hours

)

49.2237 47.6210 49.9190 0.4269

Vehic

le

Vehicle

2[3]

RideSt

ation

Content Number

InStatio

n

Avg 0.4272 0.4139 0.4287 0.0033

Vehic Vehicle RideSt Content Number

InStatio

Max 1 1 1 0

Page 169: Risk Mitigation in the Supply Chain Caused by Multitple

156

le 2[3] ation n

Vehic

le

Vehicle

2[3]

RideSt

ation

Content Number

InStatio

n

Min 0 0 0 0

Vehic

le

Vehicle

2[3]

RideSt

ation

Holding

Time

TimeInS

tation

Avg

(Hrs)

1.7000 1.7000 1.7000 0.0000

Vehic

le

Vehicle

2[3]

RideSt

ation

Holding

Time

TimeInS

tation

Max

(Hrs)

1.7000 1.7000 1.7000 0

Vehic

le

Vehicle

2[3]

RideSt

ation

Holding

Time

TimeInS

tation

Min

(Hrs)

1.7000 1.7000 1.7000 0

Vehic

le

Vehicle

2[3]

RideSt

ation

Through

put

Number

Entered

Total 28.9 28 29 0.2262

Vehic

le

Vehicle

2[3]

RideSt

ation

Through

put

Number

Exited

Total 28.8 28 29 0.3016

Vehic

le

Vehicle

2[4]

[Objec

t]

Travel Distance

Travele

d

Total

(Meter

s)

3931.24

09

3520.20

67

4077.86

87

121.208

7

Vehic

le

Vehicle

2[4]

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

41.1648 37.6587 42.3671 1.0510

Vehic

le

Vehicle

2[4]

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 28.1 26 29 0.7113

Vehic

le

Vehicle

2[4]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Vehic

le

Vehicle

2[4]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Vehic

le

Vehicle

2[4]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Vehic

le

Vehicle

2[4]

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.4116 0.3766 0.4237 0.0105

Vehic

le

Vehicle

2[4]

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Vehic Vehicle [Resou Capacit UnitsUti Min 0 0 0 0

Page 170: Risk Mitigation in the Supply Chain Caused by Multitple

157

le 2[4] rce] y lized

Vehic

le

Vehicle

2[4]

[Resou

rce]

Resourc

eState

TimeIdl

e

Avg

(Hrs)

2.4043 2.2854 2.7574 0.1097

Vehic

le

Vehicle

2[4]

[Resou

rce]

Resourc

eState

TimeIdl

e

Occurr

ences

28.2 26 29 0.7388

Vehic

le

Vehicle

2[4]

[Resou

rce]

Resourc

eState

TimeIdl

e

Percen

t

58.8352 57.6329 62.3413 1.0510

Vehic

le

Vehicle

2[4]

[Resou

rce]

Resourc

eState

TimeIdl

e

Total

(Hours

)

67.6605 66.2779 71.6924 1.2087

Vehic

le

Vehicle

2[4]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Avg

(Hrs)

1.6610 1.6370 1.6801 0.0107

Vehic

le

Vehicle

2[4]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Occurr

ences

28.5 26 29 0.6952

Vehic

le

Vehicle

2[4]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Percen

t

41.1648 37.6587 42.3671 1.0510

Vehic

le

Vehicle

2[4]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Total

(Hours

)

47.3395 43.3076 48.7221 1.2087

Vehic

le

Vehicle

2[4]

RideSt

ation

Content Number

InStatio

n

Avg 0.4113 0.3766 0.4218 0.0103

Vehic

le

Vehicle

2[4]

RideSt

ation

Content Number

InStatio

n

Max 1 1 1 0

Vehic

le

Vehicle

2[4]

RideSt

ation

Content Number

InStatio

n

Min 0 0 0 0

Vehic

le

Vehicle

2[4]

RideSt

ation

Holding

Time

TimeInS

tation

Avg

(Hrs)

1.7000 1.7000 1.7000 0.0000

Vehic

le

Vehicle

2[4]

RideSt

ation

Holding

Time

TimeInS

tation

Max

(Hrs)

1.7000 1.7000 1.7000 0

Page 171: Risk Mitigation in the Supply Chain Caused by Multitple

158

Vehic

le

Vehicle

2[4]

RideSt

ation

Holding

Time

TimeInS

tation

Min

(Hrs)

1.7000 1.7000 1.7000 0.0000

Vehic

le

Vehicle

2[4]

RideSt

ation

Through

put

Number

Entered

Total 28.1 26 29 0.7113

Vehic

le

Vehicle

2[4]

RideSt

ation

Through

put

Number

Exited

Total 27.6 25 29 0.7689

Vehic

le

Vehicle

3

[Popul

ation]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

32.9812 31.6837 34.0334 0.5848

Vehic

le

Vehicle

3

[Popul

ation]

Capacit

y

UnitsAll

ocated

Total 94.5 91 98 1.7602

Vehic

le

Vehicle

3

[Popul

ation]

Capacit

y

UnitsSc

heduled

Avg 3 3 3 0

Vehic

le

Vehicle

3

[Popul

ation]

Capacit

y

UnitsSc

heduled

Max 3 3 3 0

Vehic

le

Vehicle

3

[Popul

ation]

Capacit

y

UnitsSc

heduled

Min 3 3 3 0

Vehic

le

Vehicle

3

[Popul

ation]

Capacit

y

UnitsUti

lized

Avg 0.9894 0.9505 1.0210 0.0175

Vehic

le

Vehicle

3

[Popul

ation]

Capacit

y

UnitsUti

lized

Max 2.2 2 3 0.3016

Vehic

le

Vehicle

3

[Popul

ation]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Vehic

le

Vehicle

3[1]

[Objec

t]

Travel Distance

Travele

d

Total

(Meter

s)

3274.26

26

3126.68

13

3352.94

00

48.2565

Vehic

le

Vehicle

3[1]

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

35.8183 34.4445 36.5217 0.4965

Vehic

le

Vehicle

3[1]

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 34.4 33 35 0.5001

Vehic

le

Vehicle

3[1]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Page 172: Risk Mitigation in the Supply Chain Caused by Multitple

159

Vehic

le

Vehicle

3[1]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Vehic

le

Vehicle

3[1]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Vehic

le

Vehicle

3[1]

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.3582 0.3444 0.3652 0.0050

Vehic

le

Vehicle

3[1]

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Vehic

le

Vehicle

3[1]

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Vehic

le

Vehicle

3[1]

[Resou

rce]

Resourc

eState

TimeIdl

e

Avg

(Hrs)

2.0920 2.0278 2.2173 0.0451

Vehic

le

Vehicle

3[1]

[Resou

rce]

Resourc

eState

TimeIdl

e

Occurr

ences

35.3 34 36 0.4828

Vehic

le

Vehicle

3[1]

[Resou

rce]

Resourc

eState

TimeIdl

e

Percen

t

64.1817 63.4783 65.5555 0.4965

Vehic

le

Vehicle

3[1]

[Resou

rce]

Resourc

eState

TimeIdl

e

Total

(Hours

)

73.8090 73.0000 75.3888 0.5709

Vehic

le

Vehicle

3[1]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Avg

(Hrs)

1.1939 1.1650 1.2000 0.0093

Vehic

le

Vehicle

3[1]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Occurr

ences

34.5 34 35 0.377

Vehic

le

Vehicle

3[1]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Percen

t

35.8183 34.4445 36.5217 0.4965

Vehic

le

Vehicle

3[1]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Total

(Hours

)

41.1910 39.6112 42 0.5709

Vehic

le

Vehicle

3[1]

RideSt

ation

Content Number

InStatio

n

Avg 0.3582 0.3444 0.3652 0.0050

Page 173: Risk Mitigation in the Supply Chain Caused by Multitple

160

Vehic

le

Vehicle

3[1]

RideSt

ation

Content Number

InStatio

n

Max 1 1 1 0

Vehic

le

Vehicle

3[1]

RideSt

ation

Content Number

InStatio

n

Min 0 0 0 0

Vehic

le

Vehicle

3[1]

RideSt

ation

Holding

Time

TimeInS

tation

Avg

(Hrs)

1.2000 1.2000 1.2000 0.0000

Vehic

le

Vehicle

3[1]

RideSt

ation

Holding

Time

TimeInS

tation

Max

(Hrs)

1.2000 1.2000 1.2000 0

Vehic

le

Vehicle

3[1]

RideSt

ation

Holding

Time

TimeInS

tation

Min

(Hrs)

1.2000 1.2000 1.2000 0.0000

Vehic

le

Vehicle

3[1]

RideSt

ation

Through

put

Number

Entered

Total 34.4 33 35 0.5001

Vehic

le

Vehicle

3[1]

RideSt

ation

Through

put

Number

Exited

Total 34.4 34 35 0.3694

Vehic

le

Vehicle

3[2]

[Objec

t]

Travel Distance

Travele

d

Total

(Meter

s)

3016.46

57

2857.71

69

3224.62

28

94.0065

Vehic

le

Vehicle

3[2]

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

33.6817 31.9785 36.0937 1.0615

Vehic

le

Vehicle

3[2]

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 31.8 30 34 1.1583

Vehic

le

Vehicle

3[2]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Vehic

le

Vehicle

3[2]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Vehic

le

Vehicle

3[2]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Vehic

le

Vehicle

3[2]

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.3368 0.3198 0.3609 0.0106

Vehic

le

Vehicle

3[2]

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Page 174: Risk Mitigation in the Supply Chain Caused by Multitple

161

Vehic

le

Vehicle

3[2]

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Vehic

le

Vehicle

3[2]

[Resou

rce]

Resourc

eState

TimeIdl

e

Avg

(Hrs)

2.3600 2.0998 2.5234 0.1103

Vehic

le

Vehicle

3[2]

[Resou

rce]

Resourc

eState

TimeIdl

e

Occurr

ences

32.4 31 35 1.0228

Vehic

le

Vehicle

3[2]

[Resou

rce]

Resourc

eState

TimeIdl

e

Percen

t

66.3183 63.9063 68.0215 1.0615

Vehic

le

Vehicle

3[2]

[Resou

rce]

Resourc

eState

TimeIdl

e

Total

(Hours

)

76.2660 73.4923 78.2248 1.2208

Vehic

le

Vehicle

3[2]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Avg

(Hrs)

1.1813 1.1604 1.2006 0.0101

Vehic

le

Vehicle

3[2]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Occurr

ences

32.8 31 35 1.1583

Vehic

le

Vehicle

3[2]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Percen

t

33.6817 31.9785 36.0937 1.0615

Vehic

le

Vehicle

3[2]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Total

(Hours

)

38.7340 36.7752 41.5077 1.2208

Vehic

le

Vehicle

3[2]

RideSt

ation

Content Number

InStatio

n

Avg 0.3365 0.3198 0.3609 0.0107

Vehic

le

Vehicle

3[2]

RideSt

ation

Content Number

InStatio

n

Max 1 1 1 0

Vehic

le

Vehicle

3[2]

RideSt

ation

Content Number

InStatio

n

Min 0 0 0 0

Vehic

le

Vehicle

3[2]

RideSt

ation

Holding

Time

TimeInS

tation

Avg

(Hrs)

1.2000 1.2000 1.2000 0.0000

Vehic Vehicle RideSt Holding TimeInS Max 1.2000 1.2000 1.2000 0

Page 175: Risk Mitigation in the Supply Chain Caused by Multitple

162

le 3[2] ation Time tation (Hrs)

Vehic

le

Vehicle

3[2]

RideSt

ation

Holding

Time

TimeInS

tation

Min

(Hrs)

1.2000 1.2000 1.2000 0.0000

Vehic

le

Vehicle

3[2]

RideSt

ation

Through

put

Number

Entered

Total 31.8 30 34 1.1583

Vehic

le

Vehicle

3[2]

RideSt

ation

Through

put

Number

Exited

Total 32.4 31 35 1.0228

Vehic

le

Vehicle

3[3]

[Objec

t]

Travel Distance

Travele

d

Total

(Meter

s)

2646.15

73

2446.74

00

2809.22

00

84.0719

Vehic

le

Vehicle

3[3]

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

29.4434 27.1304 31.3043 0.9708

Vehic

le

Vehicle

3[3]

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 28.3 26 30 0.8953

Vehic

le

Vehicle

3[3]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Vehic

le

Vehicle

3[3]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Vehic

le

Vehicle

3[3]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Vehic

le

Vehicle

3[3]

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.2944 0.2713 0.3130 0.0097

Vehic

le

Vehicle

3[3]

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Vehic

le

Vehicle

3[3]

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Vehic

le

Vehicle

3[3]

[Resou

rce]

Resourc

eState

TimeIdl

e

Avg

(Hrs)

2.7861 2.5484 3.1037 0.1289

Vehic

le

Vehicle

3[3]

[Resou

rce]

Resourc

eState

TimeIdl

e

Occurr

ences

29.2 27 31 0.9417

Vehic

le

Vehicle

3[3]

[Resou

rce]

Resourc

eState

TimeIdl

e

Percen

t

70.5566 68.6957 72.8696 0.9708

Page 176: Risk Mitigation in the Supply Chain Caused by Multitple

163

Vehic

le

Vehicle

3[3]

[Resou

rce]

Resourc

eState

TimeIdl

e

Total

(Hours

)

81.1401 79.0000 83.8000 1.1165

Vehic

le

Vehicle

3[3]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Avg

(Hrs)

1.1964 1.1643 1.2000 0.0081

Vehic

le

Vehicle

3[3]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Occurr

ences

28.3 26 30 0.8953

Vehic

le

Vehicle

3[3]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Percen

t

29.4434 27.1304 31.3043 0.9708

Vehic

le

Vehicle

3[3]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Total

(Hours

)

33.8599 31.2 36 1.1165

Vehic

le

Vehicle

3[3]

RideSt

ation

Content Number

InStatio

n

Avg 0.2944 0.2713 0.3130 0.0097

Vehic

le

Vehicle

3[3]

RideSt

ation

Content Number

InStatio

n

Max 1 1 1 0

Vehic

le

Vehicle

3[3]

RideSt

ation

Content Number

InStatio

n

Min 0 0 0 0

Vehic

le

Vehicle

3[3]

RideSt

ation

Holding

Time

TimeInS

tation

Avg

(Hrs)

1.2000 1.2000 1.2000 0.0000

Vehic

le

Vehicle

3[3]

RideSt

ation

Holding

Time

TimeInS

tation

Max

(Hrs)

1.2000 1.2000 1.2000 0

Vehic

le

Vehicle

3[3]

RideSt

ation

Holding

Time

TimeInS

tation

Min

(Hrs)

1.2000 1.2000 1.2000 0.0000

Vehic

le

Vehicle

3[3]

RideSt

ation

Through

put

Number

Entered

Total 28.3 26 30 0.8953

Vehic

le

Vehicle

3[3]

RideSt

ation

Through

put

Number

Exited

Total 28.2 26 30 0.9417

Vehic Vehicle [Popul Capacit Schedul Percen 40.8433 38.5323 43.5797 1.0793

Page 177: Risk Mitigation in the Supply Chain Caused by Multitple

164

le 4 ation] y edUtiliz

ation

t

Vehic

le

Vehicle

4

[Popul

ation]

Capacit

y

UnitsAll

ocated

Total 90.3 86 95 2.2124

Vehic

le

Vehicle

4

[Popul

ation]

Capacit

y

UnitsSc

heduled

Avg 3 3 3 0

Vehic

le

Vehicle

4

[Popul

ation]

Capacit

y

UnitsSc

heduled

Max 3 3 3 0

Vehic

le

Vehicle

4

[Popul

ation]

Capacit

y

UnitsSc

heduled

Min 3 3 3 0

Vehic

le

Vehicle

4

[Popul

ation]

Capacit

y

UnitsUti

lized

Avg 1.2253 1.1560 1.3074 0.0324

Vehic

le

Vehicle

4

[Popul

ation]

Capacit

y

UnitsUti

lized

Max 3 3 3 0

Vehic

le

Vehicle

4

[Popul

ation]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Vehic

le

Vehicle

4[1]

[Objec

t]

Travel Distance

Travele

d

Total

(Meter

s)

4412.32

85

4201.04

46

4568.71

08

72.7807

Vehic

le

Vehicle

4[1]

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

44.3807 41.9855 47.0437 1.2368

Vehic

le

Vehicle

4[1]

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 32.1 31 33 0.4060

Vehic

le

Vehicle

4[1]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Vehic

le

Vehicle

4[1]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Vehic

le

Vehicle

4[1]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Vehic

le

Vehicle

4[1]

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.4438 0.4199 0.4704 0.0124

Vehic Vehicle [Resou Capacit UnitsUti Max 1 1 1 0

Page 178: Risk Mitigation in the Supply Chain Caused by Multitple

165

le 4[1] rce] y lized

Vehic

le

Vehicle

4[1]

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Vehic

le

Vehicle

4[1]

[Resou

rce]

Resourc

eState

TimeIdl

e

Avg

(Hrs)

1.9598 1.7912 2.2239 0.0892

Vehic

le

Vehicle

4[1]

[Resou

rce]

Resourc

eState

TimeIdl

e

Occurr

ences

32.7 30 34 0.8294

Vehic

le

Vehicle

4[1]

[Resou

rce]

Resourc

eState

TimeIdl

e

Percen

t

55.6193 52.9563 58.0145 1.2368

Vehic

le

Vehicle

4[1]

[Resou

rce]

Resourc

eState

TimeIdl

e

Total

(Hours

)

63.9622 60.8998 66.7166 1.4223

Vehic

le

Vehicle

4[1]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Avg

(Hrs)

1.5755 1.4841 1.6394 0.0320

Vehic

le

Vehicle

4[1]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Occurr

ences

32.4 30 34 0.7689

Vehic

le

Vehicle

4[1]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Percen

t

44.3807 41.9855 47.0437 1.2368

Vehic

le

Vehicle

4[1]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Total

(Hours

)

51.0378 48.2834 54.1002 1.4223

Vehic

le

Vehicle

4[1]

RideSt

ation

Content Number

InStatio

n

Avg 0.4300 0.4095 0.4696 0.0123

Vehic

le

Vehicle

4[1]

RideSt

ation

Content Number

InStatio

n

Max 1.8 1 3 0.4524

Vehic

le

Vehicle

4[1]

RideSt

ation

Content Number

InStatio

n

Min 0 0 0 0

Vehic

le

Vehicle

4[1]

RideSt

ation

Holding

Time

TimeInS

tation

Avg

(Hrs)

1.5000 1.5000 1.5000 0.0000

Page 179: Risk Mitigation in the Supply Chain Caused by Multitple

166

Vehic

le

Vehicle

4[1]

RideSt

ation

Holding

Time

TimeInS

tation

Max

(Hrs)

1.5000 1.5000 1.5000 0.0000

Vehic

le

Vehicle

4[1]

RideSt

ation

Holding

Time

TimeInS

tation

Min

(Hrs)

1.5000 1.5000 1.5000 0.0000

Vehic

le

Vehicle

4[1]

RideSt

ation

Through

put

Number

Entered

Total 33 32 36 0.8921

Vehic

le

Vehicle

4[1]

RideSt

ation

Through

put

Number

Exited

Total 33.1 31 36 1.0900

Vehic

le

Vehicle

4[2]

[Objec

t]

Travel Distance

Travele

d

Total

(Meter

s)

4149.79

60

3906.59

00

4336.80

47

102.516

3

Vehic

le

Vehicle

4[2]

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

42.0321 37.6381 44.5597 1.4134

Vehic

le

Vehicle

4[2]

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 30.7 28 33 0.8953

Vehic

le

Vehicle

4[2]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Vehic

le

Vehicle

4[2]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Vehic

le

Vehicle

4[2]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Vehic

le

Vehicle

4[2]

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.4203 0.3764 0.4456 0.0141

Vehic

le

Vehicle

4[2]

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Vehic

le

Vehicle

4[2]

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Vehic

le

Vehicle

4[2]

[Resou

rce]

Resourc

eState

TimeIdl

e

Avg

(Hrs)

2.1469 1.9773 2.4730 0.0943

Vehic

le

Vehicle

4[2]

[Resou

rce]

Resourc

eState

TimeIdl

e

Occurr

ences

31.1 29 33 0.7113

Vehic Vehicle [Resou Resourc TimeIdl Percen 57.9679 55.4403 62.3619 1.4134

Page 180: Risk Mitigation in the Supply Chain Caused by Multitple

167

le 4[2] rce] eState e t

Vehic

le

Vehicle

4[2]

[Resou

rce]

Resourc

eState

TimeIdl

e

Total

(Hours

)

66.6631 63.7564 71.7162 1.6255

Vehic

le

Vehicle

4[2]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Avg

(Hrs)

1.5443 1.4925 1.6014 0.0275

Vehic

le

Vehicle

4[2]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Occurr

ences

31.3 29 33 0.8953

Vehic

le

Vehicle

4[2]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Percen

t

42.0321 37.6381 44.5597 1.4134

Vehic

le

Vehicle

4[2]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Total

(Hours

)

48.3369 43.2838 51.2436 1.6255

Vehic

le

Vehicle

4[2]

RideSt

ation

Content Number

InStatio

n

Avg 0.4048 0.3735 0.4228 0.0106

Vehic

le

Vehicle

4[2]

RideSt

ation

Content Number

InStatio

n

Max 1.3 1 2 0.3455

Vehic

le

Vehicle

4[2]

RideSt

ation

Content Number

InStatio

n

Min 0 0 0 0

Vehic

le

Vehicle

4[2]

RideSt

ation

Holding

Time

TimeInS

tation

Avg

(Hrs)

1.5000 1.5000 1.5000 0.0000

Vehic

le

Vehicle

4[2]

RideSt

ation

Holding

Time

TimeInS

tation

Max

(Hrs)

1.5000 1.5000 1.5000 0.0000

Vehic

le

Vehicle

4[2]

RideSt

ation

Holding

Time

TimeInS

tation

Min

(Hrs)

1.5000 1.5000 1.5000 0.0000

Vehic

le

Vehicle

4[2]

RideSt

ation

Through

put

Number

Entered

Total 31 28 33 0.9537

Vehic

le

Vehicle

4[2]

RideSt

ation

Through

put

Number

Exited

Total 31 29 32 0.754

Page 181: Risk Mitigation in the Supply Chain Caused by Multitple

168

Vehic

le

Vehicle

4[3]

[Objec

t]

Travel Distance

Travele

d

Total

(Meter

s)

3680.07

56

3314.71

81

4051.94

02

169.173

2

Vehic

le

Vehicle

4[3]

[Resou

rce]

Capacit

y

Schedul

edUtiliz

ation

Percen

t

36.1172 32.8695 39.5908 1.4895

Vehic

le

Vehicle

4[3]

[Resou

rce]

Capacit

y

UnitsAll

ocated

Total 27.5 25 31 1.3168

Vehic

le

Vehicle

4[3]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Avg 1 1 1 0

Vehic

le

Vehicle

4[3]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Max 1 1 1 0

Vehic

le

Vehicle

4[3]

[Resou

rce]

Capacit

y

UnitsSc

heduled

Min 1 1 1 0

Vehic

le

Vehicle

4[3]

[Resou

rce]

Capacit

y

UnitsUti

lized

Avg 0.3612 0.3287 0.3959 0.0149

Vehic

le

Vehicle

4[3]

[Resou

rce]

Capacit

y

UnitsUti

lized

Max 1 1 1 0

Vehic

le

Vehicle

4[3]

[Resou

rce]

Capacit

y

UnitsUti

lized

Min 0 0 0 0

Vehic

le

Vehicle

4[3]

[Resou

rce]

Resourc

eState

TimeIdl

e

Avg

(Hrs)

2.5992 2.2410 2.9692 0.1701

Vehic

le

Vehicle

4[3]

[Resou

rce]

Resourc

eState

TimeIdl

e

Occurr

ences

28.4 26 31 1.1778

Vehic

le

Vehicle

4[3]

[Resou

rce]

Resourc

eState

TimeIdl

e

Percen

t

63.8828 60.4092 67.1305 1.4895

Vehic

le

Vehicle

4[3]

[Resou

rce]

Resourc

eState

TimeIdl

e

Total

(Hours

)

73.4652 69.4705 77.2001 1.7130

Vehic

le

Vehicle

4[3]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Avg

(Hrs)

1.5112 1.4687 1.5495 0.0143

Vehic

le

Vehicle

4[3]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

Occurr

ences

27.5 25 31 1.3168

Page 182: Risk Mitigation in the Supply Chain Caused by Multitple

169

g

Vehic

le

Vehicle

4[3]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Percen

t

36.1172 32.8695 39.5908 1.4895

Vehic

le

Vehicle

4[3]

[Resou

rce]

Resourc

eState

TimeTra

nsportin

g

Total

(Hours

)

41.5348 37.7999 45.5295 1.7130

Vehic

le

Vehicle

4[3]

RideSt

ation

Content Number

InStatio

n

Avg 0.3576 0.3261 0.3935 0.0156

Vehic

le

Vehicle

4[3]

RideSt

ation

Content Number

InStatio

n

Max 1 1 1 0

Vehic

le

Vehicle

4[3]

RideSt

ation

Content Number

InStatio

n

Min 0 0 0 0

Vehic

le

Vehicle

4[3]

RideSt

ation

Holding

Time

TimeInS

tation

Avg

(Hrs)

1.5000 1.5000 1.5000 0

Vehic

le

Vehicle

4[3]

RideSt

ation

Holding

Time

TimeInS

tation

Max

(Hrs)

1.5000 1.5000 1.5000 0.0000

Vehic

le

Vehicle

4[3]

RideSt

ation

Holding

Time

TimeInS

tation

Min

(Hrs)

1.5000 1.5000 1.5000 0.0000

Vehic

le

Vehicle

4[3]

RideSt

ation

Through

put

Number

Entered

Total 27.5 25 31 1.3168

Vehic

le

Vehicle

4[3]

RideSt

ation

Through

put

Number

Exited

Total 27.4 25 30 1.1778

Page 183: Risk Mitigation in the Supply Chain Caused by Multitple

170

CURRICULUM VITA

Ms. Anabel Renteria Marquez holds a bachelor degree in Industrial and Systems

Engineering with Honorable Mention from Tecnologico de Monterrey Campus Ciudad Juarez.

Anabel has worked for 2 years at TE Electronics as Industrial Engineer and 1 year at 3M as a

Manufacturer Engineer. Anabel entered the Graduate School at the Univerity of Texas at El Paso.

Contact information: [email protected]

This thesis was typed by Anabel Renteria Marquez.