guru simulation training. agenda 1.introduction 2.data model 1 st pass: basic structure 3.data model...
TRANSCRIPT
Guru Simulation Training
Agenda
1. Introduction
2. Data Model 1st Pass: Basic Structure
3. Data Model 2nd Pass: Policy Detail
4. Data Model 3rd Pass: Implementation
Agenda
1. Introduction• What are we going to Cover?
2. Data Model 1st Pass: Basic Structure
3. Data Model 2nd Pass: Policy Detail
4. Data Model 3rd Pass: Implementation
Introduction to the Data Model
1. Data Model 1st Pass: High Level Structure • 30,000 Ft view • Basic structural pieces
2. Data Model 2nd Pass: Policy Detail• 15,000 Ft view• Integrate details about inventory, sourcing and transportation
policies
3. Data Model 3rd Pass: Implementation• 1000 Ft view• How are the Guru Tables used to create a model
Agenda
1. Introduction
2. Data Model 1st Pass: Basic Structure• Basic Structural Elements• Walkthrough of Events
3. Data Model 2nd Pass: Policy Detail
4. Data Model 3rd Pass: Implementation
Data Model 1st Pass: Basic Structure
• Products
• Required Elements
Name
ValuePrice
Weight Cube
Product
Data Model 1st Pass: Basic Structure
• Sites
– Required Elements
– Name – Unique– Location – Lat/Long or Street Address– Type – Customer (Demand Point) or Facility (Hold Inventory)
CZ DC MFG
Data Model 1st Pass: Basic Structure
• Demand
– Required Elements
• Site• Product• Time• Quantity
Demand CZ
Data Model 1st Pass: Basic Structure
• Sourcing Policies
– Determines where the order will be sourced from
– Types of Policies• Single Source• Multiple Sources• Make
– Required Elements• Source• Destination• Product• Policy
CZ DC
Single Source
Multiple Sources
Make
CZ
DC1
DC2
MFG
Data Model 1st Pass: Basic Structure
• Inventory Policies
– Specifies when and how to replenish inventory
– Required Elements
• Site• Product• Policy
DC
IP
Data Model 1st Pass: Basic Structure
• Transportation Policies
– Required Elements
• Source• Destination CZ DC
• Basic Structural Elements
• Products• Sites• Demand• Sourcing Policies• Inventory Policies• Transportation Policies
• What are the Required Elements of each?• What are the different Sourcing Policy Types?
Data Model 1st Pass: Review
1. Demand Enters the Network
CZ DC MFGDemand
Customer (CZ) demands for a specific “Product”
Data Model 1st Pass: Walkthrough
2. Customer Source Selection
Demand
CZ chooses appropriate source based on Sourcing PolicyOrder placed at Distribution Center (DC) for quantity of product demanded
SP
CZ DC MFG
Data Model 1st Pass: Walkthrough
3. DC Inventory Review
Demand
Not enough inventory at the DC to fill the order – The DC places a replenishment order
SPIP
CZ DC MFG
Data Model 1st Pass: Walkthrough
4. DC Source Selection
Demand
DC has Need for ReplenishmentDC chooses appropriate source (sourcing policy), creates order at
Manufacturer (MFG)
SPIP
SP
CZ DC MFG
Data Model 1st Pass: Walkthrough
6. MFG Inventory Review
Demand
Inventory Sufficient to fill order – Create replenishment order
SPIP
CZ DC MFG
SPIP
Data Model 1st Pass: Walkthrough
8. MFG Source Selection
Demand
MFG has Need for ReplenishmentSince the MFG has a “Make” sourcing policy, it creates production order
SPIP
SP
CZ DC MFG
IP
SP
Data Model 1st Pass: Walkthrough
9. MFG Delivery to Customer through DC
Production Complete, Shipping Item Created at MFGShip Quantity to CZ through DC by specified transportation policies
Order Complete
Demand
SPIP
SP
CZ DC MFG
IP
SP
TP TP
Data Model 1st Pass: Walkthrough
Discrete Event Simulation
• Think about it as events that are scheduled on a calendar• One event may lead to several other events being scheduled
- Demand - Production- Scheduled Shipments - Delivery- Inventory Replenishment/Review
Sun Mon Tue Wed Thu Fri Sat1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27
28 29 30 31
Discrete Event Simulation
• Think about it as events that are scheduled on a calendar• One event may lead to several other events being scheduled
– Demand from CZ -> 10/2/07 at 4:00 pm -> Order by CZ
Sun Mon Tue Wed Thu Fri Sat1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27
28 29 30 31
CZ Demand / Order Gen.
Discrete Event Simulation
• Think about it as events that are scheduled on a calendar• One event may lead to several other events being scheduled
– Demand from CZ -> 10/2/07 at 4:00 pm -> Order by CZ– DC Inventory Review -> 10/3/07 at 12:00 am -> Order by DC
Sun Mon Tue Wed Thu Fri Sat1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27
28 29 30 31
CZ Demand / Order Gen.
DC Inventory Check / Order Gen.
Discrete Event Simulation
• Think about it as events that are scheduled on a calendar• One event may lead to several other events being scheduled
– Demand from CZ -> 10/2/07 at 4:00 pm -> Order by CZ– DC Inventory Review -> 10/3/07 at 12:00 am -> Order by DC– MFG Inventory Review -> 10/4/07 at 12:00 am -> Order by MFG
Sun Mon Tue Wed Thu Fri Sat1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27
28 29 30 31
CZ Demand / Order Gen.
DC Inventory Check / Order Gen.
MFG Inventory Check / Order Gen.
Discrete Event Simulation
• Think about it as events that are scheduled on a calendar• One event may lead to several other events being scheduled
– Demand from CZ -> 10/2/07 at 4:00 pm -> Order by CZ– DC Inventory Review -> 10/3/07 at 12:00 am -> Order by DC– MFG Inventory Review -> 10/4/07 at 12:00 am -> Order by MFG– MFG Production -> 10/5/07 at 4:00 pm
Sun Mon Tue Wed Thu Fri Sat1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27
28 29 30 31
CZ Demand / Order Gen.
DC Inventory Check / Order Gen.
MFG Inventory Check / Order Gen.
Production at MFG
Discrete Event Simulation
• Think about it as events that are scheduled on a calendar• One event may lead to several other events being scheduled
– Demand from CZ -> 10/2/07 at 4:00 pm -> Order by CZ– DC Inventory Review -> 10/3/07 at 12:00 am -> Order by DC– MFG Inventory Review -> 10/4/07 at 12:00 am -> Order by MFG– MFG Production -> 10/5/07 at 4:00 pm– Shipment Leaves MFG -> 10/8/07 at 8:00 am
Sun Mon Tue Wed Thu Fri Sat1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27
28 29 30 31
CZ Demand / Order Gen.
DC Inventory Check / Order Gen.
MFG Inventory Check / Order Gen.
Production at MFG
Shipment Leaves MFG
Discrete Event Simulation
• Think about it as events that are scheduled on a calendar• One event may lead to several other events being scheduled
– Demand from CZ -> 10/2/07 at 4:00 pm -> Order by CZ– DC Inventory Review -> 10/3/07 at 12:00 am -> Order by DC– MFG Inventory Review -> 10/4/07 at 12:00 am -> Order by MFG– MFG Production -> 10/5/07 at 4:00 pm– Shipment Leaves MFG -> 10/8/07 at 8:00 am– Shipment Arrives at DC -> 10/10/07 at 2:33 pm
Sun Mon Tue Wed Thu Fri Sat1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27
28 29 30 31
CZ Demand / Order Gen.
DC Inventory Check / Order Gen.
MFG Inventory Check / Order Gen.
Production at MFG
Shipment Leaves MFG
Shipment Arrives at DC
Discrete Event Simulation
• Think about it as events that are scheduled on a calendar• One event may lead to several other events being scheduled
– Demand from CZ -> 10/2/07 at 4:00 pm -> Order by CZ– DC Inventory Review -> 10/3/07 at 12:00 am -> Order by DC– MFG Inventory Review -> 10/4/07 at 12:00 am -> Order by MFG– MFG Production -> 10/5/07 at 4:00 pm– Shipment Leaves MFG -> 10/8/07 at 8:00 am– Shipment Arrives at DC -> 10/10/07 at 2:33 pm– Shipment Leaves DC -> 10/11/07 at 8:00 am
Sun Mon Tue Wed Thu Fri Sat1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27
28 29 30 31
CZ Demand / Order Gen.
DC Inventory Check / Order Gen.
MFG Inventory Check / Order Gen.
Production at MFG
Shipment Leaves MFG
Shipment Arrives at DC
Shipment Leaves DC
Discrete Event Simulation
• Think about it as events that are scheduled on a calendar• One event may lead to several other events being scheduled
– Demand from CZ -> 10/2/07 at 4:00 pm -> Order by CZ– DC Inventory Review -> 10/3/07 at 12:00 am -> Order by DC– MFG Inventory Review -> 10/4/07 at 12:00 am -> Order by MFG– MFG Production -> 10/5/07 at 4:00 pm– Shipment Leaves MFG -> 10/8/07 at 8:00 am– Shipment Arrives at DC -> 10/10/07 at 2:33 pm– Shipment Leaves DC -> 10/11/07 at 8:00 am– Shipment Arrives at CZ -> 10/11/07 at 2:22 pm
Sun Mon Tue Wed Thu Fri Sat1 2 3 4 5 6
7 8 9 10 11 12 13
14 15 16 17 18 19 20
21 22 23 24 25 26 27
28 29 30 31
CZ Demand / Order Gen.
DC Inventory Check / Order Gen.
MFG Inventory Check / Order Gen.
Production at MFG
Shipment Leaves MFG
Shipment Arrives at DC
Shipment Leaves DC Shipment
Arrives at CZ
Data Model 1st Pass: Model Creation
• Open Supply Chain Guru
Data Model 1st Pass: Model Creation
• Add a New Model
– Go to File Add A New Model
Data Model 1st Pass: Model Creation
• Save the Model in Training Folder– C://Llamasoft/Training
– Save Model As:• Sim_Training_Basic
– Save Project As:• Guru_Training
Data Model 1st Pass: Model Creation
• Network Simulation Inputs
• Sites, Products, Demand
• Sourcing Polices
• Inventory Policies
• Transportation Policies
Data Model 1st Pass: Model Creation
• The Model we will Build
• 3 Sites
• 1 Product
Product
Demand
SPIP
SP
CZ DC MFG
IP
SP
TP TP
Data Model 1st Pass: Products
• Add Products to the Guru Model
• Name/SKU• Inventory Valuation• Price• Weight, Cubic• Status
Product
• Add Products to the Guru Model
• Open the Products Table• Add a Product with the following information:
Data Model 1st Pass: Products
Name: ProductValue: 5Price: 10Weight: 5Cubic: 5Type: DiscreteStatus: Include
Data Model 1st Pass: Sites
• Add Sites to the Guru Model
– Name– Location (Address, City, State, Country, Postal
Code, Latitude, Longitude)– Capacity Period, Capacity Basis– Fixed Startup Cost/Cap, Fixed Operating Cost/Cap– Closing Cost
MFGDCCZ
• Open the Sites Table
Data Model 1st Pass: Sites
1. Add Customer Site:
– Name: CZ– City: New York– State: New York– Type: Customer– Graphic: Circle– Graphic Color: Green
Data Model 1st Pass: Sites
2. Add Distribution Center:
– Name: DC– City: Omaha– State: Nebraska– Type: Existing Facility– Graphic: Triangle– Graphic Color: Yellow
3. Add Manufacturer:
– Name: MFG– City: Los Angeles– State: California– Type: Existing Facility– Graphic: Square– Graphic Color: Red
Data Model 1st Pass: Sites
• Display the Sites on the Map
Data Model 1st Pass: Sites
Data Model 1st Pass: Demand
• Add Demand to the Guru Model
- Customer Site - Time Between Orders
- Product - Due Date
- Quantity - Unit Price
- Occurrences
CZDemand In
Data Model 1st Pass: Demand
• Add Demand to the Guru Model
– Open the Demand Table
– Add (1) Demand Record with the following information:
Customer: CZ Due Date: 5 Day
Product: Product Occurrences: INF
Quantity: 100 Time Between Orders: 1 WK
Order Time: 0
Data Model 1st Pass: Review
Demand
SPIP
SP
CZ DC MFG
IP
SP
TP TP
Agenda
1. Introduction
2. Data Model 1st Pass: Basic Structure
3. Data Model 2nd Pass: Policy Detail • Sourcing Policies• Inventory Policies• Transportation Policies
4. Data Model 3rd Pass: Implementation
Data Model 2nd Pass: Sourcing
• Sourcing Policies
– Basic Types
• Upstream Replenishment– Single Source– Multiple Sources
• Self Replenishment– Make
– Required Elements
• Source• Destination• Product• Policy Type
CZ DC
Single Source
Multiple Sources
Make
CZ
DC1
DC2
MFG
Data Model 2nd Pass: Sourcing
• Available Sourcing Policies
1. Single Source
2. Multiple Sources (Most Inventory)
3. Multiple Sources (Order by Preference)
4. Multiple Sources (Probability)
5. Make – Single, Multiple (Order by Preference, Probability)
6. Custom
Data Model 2nd Pass: Sourcing
Demand
SP
CZ DC MFG
• Sourcing Walkthrough Review
Data Model 2nd Pass: Sourcing
• Add Sourcing Policies to the Guru Model
– For each Site/Product pair, define a Sourcing Policy linking the source to the destination site
MFGCZ DCProduct Product
• Add Sourcing Policies to the Guru Model
Data Model 2nd Pass: Sourcing
– Open the Sourcing Policies Table– Add a total of (3) Sourcing Policies
– 2 of type Single Source» Customer to DC» DC to Manufacturer» 1 for each DC-Product combination
– 1 of type Make» 1 for each product at the Manufacturer
• Display the Sourcing Policies on the Map
Data Model 2nd Pass: Sourcing
Data Model 2nd Pass: Review
Demand
SPIP
SP
CZ DC MFG
IP
SP
TP TP
Data Model 2nd Pass: Inventory
• Inventory Policies
• Required Elements
» Site» Product» Policy Type DC
IP
Data Model 2nd Pass: Inventory
• Inventory Policy Detail
There are three things beyond site, product and policy that are also necessary for any inventory policy
1. Point at which you reorder, what threshold?
• Reorder Point (RP)
2. Amount of which you order?
• Reorder Quantity / Order Up To Quantity (RQ)
3. When you check inventory levels?
• Review Period (P)
T
RP
QRQ
P
• Total Inventory Quantity Details
– Quantity Ordered but not yet Received (COQ)– Current Units in Inventory
Data Model 2nd Pass: Inventory
Days
RP
Units
RQ
Order Received
Current Inventory
+COQ
Order Placed
Current Inventory
Data Model 2nd Pass: Inventory
• Available Inventory Policies
1. Demand Flow• One for One Replenishment
2. R,Q• Fixed Reorder Point / Order Quantity
3. S,s• Fixed Reorder Point / Order Up To Quantity
Data Model 2nd Pass: Inventory
• Available Inventory Policies
1. Demand Flow (one for one replenishment)
Q
T
Data Model 2nd Pass: Inventory
• Available Inventory Policies
2. R,Q (fixed reorder point, reorder qty)
Q
T
RP
RQ
Data Model 2nd Pass: Inventory
• Available Inventory Policies
3. S,s (Fixed reorder point, order up to point)
Q
T
RP
RQ
Data Model 2nd Pass: Inventory
• Available Inventory Policies
4. S,s Targets • Change Reorder Point / Order Up To Qty by period
5. R,Q Targets • Change Reorder Point / Order Quantity by period
6. Custom Policy
Data Model 2nd Pass: Inventory
• Available Inventory Policies
7. DOS Demand• Based on Previous Demand• DOS Window – Calculate Reorder Point and Order Up To Quantity
8. DOS Forecast• Based on Demand Forecast• DOS Window – Calculate Reorder point and Order Up To Quantity• Planning Lead Time (LT) – Offset Window for Seasonality
Time Window
Time WindowLT
Data Model 2nd Pass: Inventory
Demand
SPIP
CZ DC MFG
• Inventory Walkthrough Review
Data Model 2nd Pass: Inventory
• Add Inventory Policies to the Guru Model
• One Inventory Policy is optional for each product at each non-Customer site.
• Each Inventory Policy defines:
• Initial Inventory levels• Safety/Cycle Stock Levels• Associated Costs
DCMFG
Product Product
Data Model 2nd Pass: Inventory
• Add Inventory Policies to the Guru Model
• Open the Inventory Policies Table• Add (2) Inventory Policies• One for each (non-Customer) Site-Product combination
- Sites: MFG, DC- Products: Product- Leave all other fields at default value
Data Model 2nd Pass: Review
Demand
SPIP
SP
CZ DC MFG
IP
SP
TP TP
Data Model 2nd Pass: Transportation
• Transportation Policies
– Required Elements
– Source– Destination– Mode
– Lane = Collection of Modes between a Source and Destination
DC CZ
DC – CZ Lane
• Transportation Lane Details
– Lane Elements:Source Lane Queue Modes
Destination Mode Rules
Shipping Items Mode Queue
Data Model 2nd Pass: Transportation
Lane Queue
ModeRules
Mode Queue
Mode 1
Mode 2
ModesShipping Item
CZ
Destination
DC
Source
DC – CZ Lane
Data Model 2nd Pass: Transportation
• Transportation Mode Rules
Mode 1
Mode 2
Mode 3
Mode 4
Mode Rules
CZDC
DC – CZ Lane
Data Model 2nd Pass: Transportation
• Transportation Mode Rule Details
• First – selects the first mode alphabetically• First Available Asset – selects the mode with the first asset available• By Probability – Chooses mode based on chance/probability• On Due Date – Sends shipment on mode if necessary for on time• On QTY, Weight, Cubic – lists classes for each mode (0-500 ->0), (500-INF->500)• Queue Only – just place in queue do not ship• Custom Mode Selection
Mode 1
Mode 2
Mode 3
Mode 4
CZDC
DC – CZ Lane
Data Model 2nd Pass: Transportation
• Transportation Modes
LTL
Full TL
Periodic
Pooled
Modes
CZDC
DC – CZ Lane
• Transportation Mode Details
Data Model 2nd Pass: Transportation
• Full TL • Requires Asset, Fill level and Capacity• Released from Queue when full
• LTL • Shipped Immediately
• Periodic • Scheduled Shipments• Requires Shipment Period
• Pooled (inbound and Outbound) • Multiple Stops/Deliveries (Milk Run)• Requires Asset, Fill Level and Capacity
• Other • Parcel, air, rail and ship. • Function as LTL• If Asset is used, function as Full TL
LTL
Full TL
Periodic
Pooled
CZDC
DC – CZ Lane
• Transportation Assets
– Elements» Name» Number of Units» Fill level (Weight or Cube)» Capacity (Weight or Cube)» Only Released if fill level reached
Data Model 2nd Pass: Transportation
LTL
Full TL
Periodic
Pooled
ModeAsset
Required
Yes
Yes
No
No
DC CZ
DC – CZ Lane
Data Model 2nd Pass: Transportation
• Transportation Costs
• Applied to each mode
• 4 ways to Enter Costs • Number• Step Function• Dynamic Rate (Input Pipe)• Custom
• Cost Basis – Qty, Distance, Weight
Cubic, etc.
Data Model 2nd Pass: Transportation
• Transportation Policy Walkthrough
1. Shipping Item Queued at Lane
• Order gets put into lane queue as a Shipping Item
Mode 1
Mode 2
Shipping Item
Lane Queue
Data Model 2nd Pass: Transportation
• Transportation Policy Walkthrough
2. Review Period for Queue
• Contents of Queue evaluated at Review Period
Mode 1
Mode 2
Shipping Item
Lane Queue
Data Model 2nd Pass: Transportation
• Transportation Policy Walkthrough
3. Mode Rule Execution
• Mode Selected by Mode Rule• Shipping Item Sent to Queue at the Mode
Mode 1
Mode 2
Shipping Item
Lane Queue Mode
Rule
Data Model 2nd Pass: Transportation
• Transportation Policy Walkthrough
4. Mode Behavior
• Shipping Item Queued at the Mode– LTL - Ship Immediately – Full TL – Wait for Fill Level, then ship
Mode 1
Mode 2
Shipping Item
Lane Queue
Mode Queue
ModeRule
Data Model 2nd Pass: Transportation
• Transportation Policy Walkthrough
5. Item Shipped
• Item placed on appropriate mode, released to destination
Mode 1
Mode 2
Shipping Item
Lane Queue
Mode Queue
ModeDecision
Mode
• Transportation Walkthrough Review
Data Model 2nd Pass: Transportation
Demand
SPIP
SP
CZ DC MFG
IP
SP
TP
Mode 1
Mode 2
TP
• Add Transportation Policies to the Guru Model
• There is at least one Transportation Policy that applies to a Sourcing Policy which is not “Make”
• Each Transportation Policy defines a “Flow”:
1. Source Site2. Destination Site3. Product (all applicable products if not explicitly entered)4. Mode (1 if not explicitly entered)
Data Model 2nd Pass: Transportation
MFGDCCZ
• Add Transportation Policies to the Guru Model
• Open the Transportation Policies Table• Add (2) Transportation Policies• One for each Source-Destination combination defined in
Sourcing Policies
• Sources: MFG, DC• Destinations: DC, CZ• Leave all other fields at default value
Data Model 2nd Pass: Transportation
Data Model 2nd Pass: Review
Demand
SPIP
SP
CZ DC MFG
IP
SP
TP
Mode 1
Mode 2
TP
Agenda
1. Introduction
2. Data Model 1st Pass: Basic Structure
3. Data Model 2nd Pass: Policy Detail
4. Data Model 3rd Pass: Implementation• Additional Features• Output Analysis
• We have already created the Basic Structure of our Model
» Products» Sites» Demand» Sourcing Policies» Inventory Policies» Transportation Policies
• Lets try running our model!
Data Model 3rd Pass: Implementation
• Open the Model Options• Simulation Period (Tools -> Model Options (F3))
– Specified by:» Start Date/Time» End Date/Time
Data Model 3rd Pass: Running the Model
Start Date/Time
End Date/Time
• Open the Simulation Control Panel– Simulate -> Simulate Supply Chain (F7)
Data Model 3rd Pass: Running the Model
Hit Run!
Error Check?
Data Model 3rd Pass: Results Analysis
• Analyzing the Results
– Simulation Output Tables
• Network Summary• Site Summary• Product Summary• Inventory Details• Service Details• Shipment Transactions
Data Model 3rd Pass: Additional Details
• Additional Details we will add/change:
• Inventory » Policies» Costs
• Transportation » Policies » Costs» Times
• Sourcing » Policies» Costs
Data Model 3rd Pass: Inventory
• Open the Inventory Policies Table
– Add Policies & Costs
DC – Product MFG – Product
Policy = R,Q Policy = s,S
Reorder Point = 500 Reorder Point = 500
Reorder Qty = 1000 Reorder Qty = 1000
Review Period = Daily Review Period = Daily
Initial Inventory = 750 Initial Inventory = 750
Inbound Cost = 0.5 Inbound Cost = 0.3
Outbound Cost = 0.5 Inbound Cost = 0.3
Data Model 3rd Pass: Transportation
• Transportation Policy Modification
– Open the Demand Table• Add An Additional Demand
– CZ, Product, 50, 0, 5 DAY, INF, 2 WK
– Open the Transportation Policies Table• Create an additional DC -> CZ Policy, mode 2• Set the Following:
Mode 1 Mode 2
Mode Rule: On Qty Mode Rule: On Qty
Parameter: 0 Parameter:125
Cost: 0.5 Cost:0.3
Data Model 3rd Pass: Sourcing
• Sourcing Policies Modification
– Open the Sites Table• Add An Additional DC to the sites table
– DC_2, location = Dallas, TX, 75201• Auto Generate Alternative Sources
– Replicate DC inventory, sourcing, and transportation policies for DC_2
– Open the Sourcing Policies Table• Modify the sourcing policies for DC and DC_2
– Set both sourcing policies to Multiple Sources(Probability)– Set both parameters to 50
• Set the Sourcing Cost of the Make Policy to 1
Data Model 3rd Pass: Results Analysis
• Analyzing the Results
– Simulation Output Tables
• Network Summary• Site Summary• Product Summary• Inventory Details• Service Details• Shipment Transactions
Final Review
Demand
SPIP
SP
CZ DC MFG
IP
SP
TP
Mode 1
Mode 2
TP