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CLOUD BASED SUPPLY CHAIN OPTIMIZATION
USING OPERATIONS RESEARCH TECHNIQUES
Responsive
Resilient
Supply Chain Business Solutions
Introducing Saddle Point Business Solutions
Saddle Pointtech Business Solutions helps you in driving operational efficiency
in complex supply chains using Operations Research techniques.
Our differentiators are
• Around 200 man-years of expertise in end-to-end supply chainplanning in multiple industry verticals, with a 18 people strongexecution team.
Strong Domain Expertise
• Hands-on involvement with the business team to ensure thatthe changes proposed and accepted are implemented properlyand are used regularly
Ideas-to-Implementation
• An extensive portfolio of 20 cloud solutions based onOperations Research Techniques, Simulation and Analyticsdeveloped by our in-house OR team.
Extensive Solution Portfolio
• Owning the entire process of solution deployment and offeringplanning-as-a-service.
Planning-as-a- Service
Our Offering
Consultancy and Analytical Services
Driving operational efficiency in supply chain.
Improving the effectiveness of supply chainplanning.
Deployment of Cloud Solution for SCP
Reduced TCO through deployment of Cloudbased integrated Supply Chain Planning Suitefrom Saddle Point Technologies.
Development of Point Solutions
Developing point solutions for specific businessrequirements or customization of one of theexisting solutions from our standard portfolio.
Planning-as-a-Service
Converting your Capex to Opex by getting allyour complex supply chain planning done as aservice.
SCP Cloud Suite
Cloud based end-to-end integrated
Supply Chain Planning and
Optimization Suite with a SaaS
offering.
Vehicle Route Planner
Generate feasible and optimal
routes based on constraints like
delivery time windows, pickup or
delivery, vehicle capacity etc.
Procurement Optimizer
Minimize total procurement cost
across all vendors by considering
volume discount and constraints
like Lot size, MOQ, Min-Max quota
Production Planner
Generate capacity and material
feasible production plans (Rule
based Heuristics) or optimal
production plans (Optimizer based)
Demand Planner
Collaborative Demand Planning
with Forecasting, Promotions
Planning, NPI and Sentiment
Analysis modules.
Workforce Optimizer
Allocate workforce optimally to
multiple projects based on
resource costs, skill-set levels,
learning curve, transition cost.
Supply Chain Optimizer
Generate a low cost fulfillment plan
by reducing supply chain costs like
production, transportation,
inventory and procurement .
Inventory Optimizer
Reduce inventory cost by
determining optimal inventory
levels based on SLAs, lead time
and demand and supply variability.
Transportation Optimizer
Minimize total transportation cost
by using fleet capacity efficiently,
consolidating loads and better
rake/truck requirement planning.
Production Scheduler
Create constrained production
schedule with make span
minimization based on job shop,
flow shop and hybrid layout.
Shift Scheduler
Generate a feasible shift schedule
by adhering to shift assignment
rules like maximum consecutive
night shifts, forbidden shifts etc.
Supply Network Designer
Find the best location for a new
plant or warehouse from a list of
candidate locations that optimizes
the supply chain.
Extensive Cloud Solutions Suite
Select Team MembersOur team is a 18 member strong team that consists of experienced managementconsultants, industry experts, OR analysts, statisticians and developers with PhDs andmasters degree in operations research, technology and business management from topranking institutes.
Some of our key members are
Vivek Pawanarkar – An IIMA alumnus with 18 years of Supply Chain Consulting experience in companies likeDeloitte Consulting and Mindtree.
He heads the consulting practice.
Ramanujam Satteluri – A NITIE alumnus with 18 years of experience in Supply Chain PackageImplementation in companies like Siemens Information Systems and Mindtree.
He heads the implementation services practice.
Arup Kar – An IIMC alumnus with 18 years of experience in Supply Chain Solution conceptualization anddevelopment in companies like Intel and Steelwedge Inc.
He heads the solutions and planning-as-a-service practice.
Supriyo Sarkar– An NIT alumnus with 21 years of experience in Operations, Supply Chain andManufacturing in companies like ICI Plc UK and Orica, Australia.
He heads our corporate training practice.
Select Solutions Delivered
Demand Forecasting solution for
Air Products - USA
Production Line Balancing solution for
St. Onge - USA
Capacity Swapping solution for
Intel AT factories
Vehicle Routing and Scheduling solution for
Sonar Technologies -Australia
Production Planning solution for
Dow Chemicals - USA
Production Scheduling solution for
St. Onge - USA
Spare Parts Planning solution for
Intel Fab - Israel
Supply Chain Alerts integrated with iPAD
for Hindustan Unilever
Warehouse Dock Scheduling solution for
St. Onge - USA
Dow Chemicals - USA
Planning time reduced from 3 days to 0.5 days
Average inventory levels were reduced from 25 days to 17 days
Food Company - UAE
Total cost of machines was reduced by 17% compared to the budgeted cost
FMCG- Sweden
Truck turnaround time reduced from 7 Hrs to 4 Hrs.
Dock throughput increased from 160T to 200T per day
Home Services - Australia
8,000 jobs and 200 vehicles were being planned everyday
13% reduction in fuel cost and 8% reduction in number of vehicles used
FMCG - Sweden
De-palletizing and Palletizing operation for creating rainbow pallets was done on a FIFO basisUnified scheduling reduced the waiting time of pallets by 4 Hrs.
Intel Fab - Israel
Spare parts inventory levels were rationalized
19% reduction in inventory levels for the same SLA were achieved
Air Products - USA
Improved forecasting accuracy from 54% to 68%
Intel AT factory - Malaysia
Sending the correct requirement to the subcontractor used to take 3 days . This was reduced to 0.5 day.
Consultancy Services Delivered
New factory and warehouse set-up for
Grindwell Norton
Process documentation of replenishment cycle for Metro Cash & Carry
Process definition for annual coal demand
for Arcelor Mittal
SKU rationalization
for
Siemens Electric
Rationalization of double stock entry
process for Metro Cash & Carry
Feasibility study for reduction of Truck TAT using e-Card readers for Calcom Cement
Supply chain metrics for
Clariant Chemicals
RFID feasibility for crates at cold storage
for Mother Dairy
Supply chain metrics for Hindustan Unilever
Package Implementations
SAP-APO implemented for Ranbaxy - India
DP, SNP & PPDS
SAP-APO implemented for Kao Corporation -
Japan
DP, SNP & PPDS
i2 implemented for Asian Paints - India
FP, RPS
APO-DP implemented for Hindustan Unilever
- India
APO-CTM implemented
for Intel (RPG Group)-USA
SAP-APO implemented for ITC - India
DP, SNP & PPDS
APO-SNP implemented for Intel (DM Group) -
Malaysia
SNP, Custom Optimizer
Saddle Point Cloud Suite implemented for 3SC Solutions - India
DP, NO, IO, VRS
SAP-APO implemented for Jindal Steel - India
DP, SNP, PPDS & GATP
3PL & Planning Solutions Provider• Planning• Receipts• Storage• Loading • Despatch
50 shipments per day
RM availability
Vendor Collaboration
Logistics Co-ordination
Visibility
12 % - 15 % Operational Improvements for 3SC
Less # of trucksMore Return LoadsFaster Inventory turnsLess fuel costReduced manpower
Indian Case Study: 3SC, Gurgaon
Weight and Volume Constraints
Stackability
Odd packages
Loading Chart
Utilization report
3 D Optimized Result
Stuffing Optimization
Annual Procurement Planning for Arcelor Mittal, Luxembourg
Business Situation
A fortune 500 company and the world’s largest steel company, Arcelor Mittal has over 45 manufacturing sites acrossthe globe. Sourcing of Coal and Iron Ore is handled by a single company of the group with a spent of over USD 20billion per year.
Lack of integration , accountability and visibility in the in the Annual Procurement Planning process amongst themanufacturing sites and the procurement company resulted in excess procurement, mismatches and disruptions insupplies, and friction with suppliers over prices and schedules.
Solution Highlights
Defined a complete annual procurement planning process, calendared and controlled under a single program acrossall manufacturing sites and developed a web based application for consensus planning to plan and view at differentproduct and location hierarchies. The procurement plan was also constrained by production capacity.
Business Benefits
Evolution of a formal annual procurement planning process and clear responsibilities and accountability for under andexcess inventories resulted in better visibility for senior management on the high value Annual Procurement Plansagainst production plans across the enterprise and globe.
Elimination of practice of over and under ordering of Coal and Iron Ore, elimination of flash procurement and lastminute cancellation of procurement.
Dock and Loading Resource Scheduling for St. Onge, USA
Business Situation
A large FMCG company manages all its inbound and outbound logistics from a warehouse location in Sweden.Receipts and distribution of goods is done using large trucks of various capacities in a huge docking area common forboth inbound and outbound trucks.
The on time delivery KPI was not healthy as lot of time was getting wasted in waiting because of inefficient allocationof loading docks and loading resources to trucks.
Solution Highlights
Generated a feasible dock schedule using constraint programming techniques which considered constraints like dockavailability, material availability, truck availability, handling resource capacities etc. and detailed schedules for materialloading/unloading and truck dispatches were generated.
Business Benefits
Optimal allocation of dock space to all the inbound and outbound trucks resulting in smooth operations and reductionin delay of truck dispatch thereby improving the service levels.
Improved utilization of dock space and material handling resources resulting in improvement in operational efficiencyof warehouse.
Production Planning for McKesson, US
Business Situation
Mckesson, a Fortune 15 company, is a leader in health care services and is in business for more than 175 years inNorth America region. It is the largest pharmaceutical distributor in North America, distributing one-third of themedicines used every day
The company faced issues with the scheduling of packaging machines for medicine redistribution supply chain.Production Scheduling was done using Microsoft Access scheduling software which is time consuming & laborious.Moreover the solution did not have capability to consider Capacity & current loads, which resulted in InfiniteScheduling that resulted in infeasible production schedules
Solution Highlights
Implemented SAP PP for scheduling of Production Orders by considering the production capacity. Capacity levelingwas done using planning board functionality.
Business Benefits
One stop shop for finite scheduling Production Plan and better visibility of the load on production line / work centers resulted in generating feasible production plans that could be used by the shop floor thereby and minimizing the confusion and chaos in the shop floor.
Plant Capacity Optimization for St. Onge, USA
Business Situation
A food processing company was planning to start a new plant in one of its high demand markets and wanted tooptimize the machines capacities of the plant by running demand simulation for various product mix and actualproposed plant layout. The idea was to flag off the bottleneck resources and size the resources properly.
Solution Highlights
Generated an optimal production plan using Mixed Integer Programming considering constraints common in process industries like batch processing, product perishability, product specific setup times, process times, combination of both batch and discrete manufacturing processes etc.
Business Benefits
The machines used for the plant were of very high value with a huge lead time. It was therefore important to simulate it as close to the ground realities as possible. Our solution could help the client run lot of scenario analysis by taking the actual constraints into consideration thereby helping them take an informed decision.
Demand Planning for Pepsico, India
Business Situation
Pepsico, one of the largest beverages companies in the world was trying to improve its forecast accuracy for better Demand Planning from its current accuracy of 64%
Since the planning was happening in spreadsheets, lack of integration and visibility in the in the Annual Operations Planning process amongst the different sites and departments lead to less than accurate demand forecast.
Solution Highlights
An integrated web based demand planning solution was implemented for statistical forecasting and consensus planning to plan and review at different product and location hierarchies.
Business Benefits
Industry standard algorithms improved the forecasts accuracy using the best fit forecast technique to 78%.
Hierarchical planning created a consistent plan reducing the need for to-and-fro movements of spreadsheets.
Supply Chain Process Improvement for Calcom Cement, Kolkata
Business Situation
Calcom cement had commissioned 2 new cement plants and required to optimize Supply Chain activities likeplanning, execution and reporting for Procurement, Manufacturing and Distribution
Supply chain processes were driven by prevalent industry practices with little focus on Supply Chain Optimization andlegacy supply chain processes were time-consuming and obstructive to desired speed of conducting business
Solution Highlights
Integrated Supply Planning and Execution processes for Mining, RM transportation (truck/ railway), Clinker andCement Manufacturing, Storage, Sales and Distribution
Business Benefits
Tightly integrated processes throughout the supply chain that eliminated non-value added processes from thebusiness process chain
Major improvement across all main SCM KPIs On-Time-In-Full, Inventory Turnover, Inventory Coverage, TruckTurnaround Time, Credit Ageing
Sales & Distribution Planning for Mother Dairy, New Delhi
Business Situation
The leading dairy company in North India, Mother dairy, produces liquid milk & milk related products, edible oil, freshfruits & vegetables and frozen vegetables that are distributed through 14,000 retail outlets and 845 exclusive outlets
The present distribution model needed to be streamlined as the service levels to milk booths was declining anddistribution costs as a % of sales was going up.
Solution Highlights
Redesigning the Booth Distribution process with defined short term and long term plans
Implementation of a route planning and scheduling solution for optimal vehicle utilization from plants andwarehouses
Business Benefits
Drastic improvements in distribution related KPIs like Order Fulfillment (OTIF), Freshness and Working Capital cyclewith high demand visibility and better warehouse space utilization
Significant cost benefits realized due to optimized routing and better vehicle utilization
Manufacturing and Distribution Planning for HUL, Bangalore
Business Situation
HUL is the largest FMCG player in India with more than 100 brands in product groups such as home and personalcare, food, beverages and specialty chemicals , 61,000 Bills of Materials spread across product categories and 130factories
The need of the hour was a planning solution to integrate manufacturing and distribution
Solution Highlights
Implemented SAP APO with integration with SAP ECC
Business Benefits
Improved visibility and optimized operations resulting in lower supply chain costs
Prompt problem resolution in business functions like manufacturing, procurement and distribution
Forecast Variance Analysis for HUL, Bangalore
Business Situation
HUL is the largest FMCG player in India with more than 100 brands in product groups such as home and personalcare, food, beverages and specialty chemicals , 61,000 Bills of Materials spread across product categories and 130factories
HUL had implemented SAP APO as the central system to forecast sales across product and regional dimensions and itneeded analytical services to optimize the forecast variance observed in present system, explain major sales uplifts(positive or negative) using exploratory methods and to quantify and forecast promotion effects
Solution Highlights
Business analysis for analyzing promotional effect s, trend and seasonality, uplift calculation, cannibalization effectsand promotional lag and lead effects.
Statistical modeling for dispersion analysis for explaining variance and regression analysis to find contribution of eachpromotion on a product category
Business Benefits
Significant reduction in forecast variance error using COTS application
Batch Traceability in Cold Supply Chain for Mother Dairy, New Delhi
Business Situation
A leading dairy company in North India, Mother dairy, produces liquid milk & milk related products, edible oil, freshfruits & vegetables and frozen vegetables that are distributed through 14,000 retail outlets and 845 exclusive outlets
Unique nature of ice cream business involving short replenishment lead time and cold operating conditions, businessfaced challenges in accurately tracking batches to ensure quality of delivery and offer better shelf life. This situationresulted in issues with traceability of batches for milk and ice cream at warehouse causing inventory expiry and write-off
There were legal requirement for printing the exact batch number on the sales invoice and stock transfer documents,reconciliation of physical and actual stocks and managing batch recall program in case of exigency or contaminationof ice cream products in the market
Solution Highlights
Warehouse management system for faster traceability and effective batch management with barcode based trackingof receipts and dispatches to ensue accuracy of records and faster reconciliation
Business Benefits
In addition to the legal compliance requirements, real time inventory ageing & expiry information, batch informationand batch traceability information from plant to distributor improved the service levels and helped in better utilizationof the shelf space.
Supply Norms for Distributor for HUL, Bangalore
Business Situation
Hindustan Unilever Limited is the largest FMCG player in India with more than 130 manufacturing locations and 2000suppliers
The main structure of supply chain is: Supplier- Factory- Super Mother Depot- Depot- Sub Depot- RS (RedistributionStockist) – Retailers. SAP Demand Planning was used for Demand Management at depot level, while MS Excel basedcalculations were used for RS level. Demand Management results at RS level were inaccurate, time consuming andrepetitive in nature, resulting in stock outs at the RS level
Solution Highlights
Scientifically disaggregated demand estimates for each base pack (a logical grouping for an underlying SKUs or Consumer Buying Units) at Area Level into dynamic RS level stocking norms and calculated the safety stock levels.
Business Benefits
Dramatic improvement was observed in customer SLA’s by improved sales to retail
Optimization of planning process was optimized and there was substantial time reduction
Customers (RS) reported huge savings in terms of inventory. The inventory carrying costs and working capital saw a substantial reduction after RS Norms was implemented. There were huge improvements in terms of working capital reduction especially for slow moving and non moving items
Spend Monitoring & Forecasting Solution for Unilever, Asia Pacific
Business Situation
Unilever, a leader in the FMCG market needed to monitor its raw material and packing materials spend beingincurred for its various plants across Asia and AMET region
Due to various taxation issues, procurement process specific to each countries and nature of procurement contract,business users faced challenges in aligning spend on basis of common evaluation criteria which resulted indiscrepancies in spend reporting between the countries and region, leading to challenges in planning and forecastingof spend
Solution Highlights
Standardized the processes across plants and vendor for reporting spend figures , reversals due to quality issue andprevent double counting of spend in case of commodity trading between various entities
Implemented a custom solution for monitoring the spend, capturing spend incurred at 3rd party vendor locations andaccounting for delivery related cost in case of imported items. The solution was linked to other detailed planningprocesses and reporting tools for budgeting and analysis
Business Benefits
Standardized processes for spend capturing and accounting and better visibility of spend, reduced lot of discretionary spent and thereby reduced the total spend by 3%
Vehicle Routing and Scheduling Solution
There are 3 variants of the VRS solution that we have developed and implemented
VRS with pickup and delivery for E-commerce logistics providers, courier companies, grocery delivery companies, FMGC distribution companies. This variant was deployed for an FMCG major in India.
Savings in the tune of 8% was immediately realized.
Since mapping services in India don’t provide accurate distances, efforts are on to build a distance-time database for the client by taking inputs from the field. Accurate data is expected to increase the savings to around 15%.
Talks are on to deploy this for a grocery delivery company in Hyderabad where our mobile solutions for scheduling the jobs and real time tracking of delivery vehicles will also be used.
VRS for service based companies like pest control companies, carpet cleaning companies, service personnel like plumber/electrician providers. This variant was deployed for a company in Australia that provides planning-as-a-service to its customers.
The customer base consists of pest control companies, carpet cleaning companies and service personnel providers.
The solution can handle 50,000 jobs and 500 resources in each run.
Talks are on to deploy this for a food distribution company in Mumbai where our mobile solutions for scheduling the jobs and real time tracking of service boys will also be used.
VRS for food distribution companies with Frozen zone and Ambient zone requirement. Talks are on to deploy this variant for a food distribution company in Canada.
Select Solutions Delivered
Demand Forecasting solution for
Air Products - USA
Air Products, an industrial gases company was nothappy using their existing forecasting solution as itdidn’t have aggregation/disaggregation feature, wasnot web enabled and also lacked industry standardalgorithms.
Using industry standard algorithms forforecasting could help increase the forecastingaccuracy from 54% to 68%. With better visibilityof data, the accuracy was expected to increasefurther.
Select Solutions Delivered
Production Line Balancing solution for
St. Onge - USA
St. Onge, one of the top 3 supply chain consulting companies in the US, was helping a client set up a green field food processing company in the UAE.
•The lead time of the equipments was 18 months•The product mix was huge•It had both batch and discrete manufacturing processes•Perish-ability was to be considered
The entire production process was modeled mathematically and optimal resource sizing was done
Select Solutions Delivered
Capacity Swapping solution for
Intel AT factories
Intel used to reserve subcontractors capacity inadvance based on the forecasts.
With better visibility of near term orders, the reservedcapacity was required to be used optimally for adifferent product mix.
The to and fro communication with the sub-contractor for using the reserved capacity used totake 3 days
Capacity swapping solution make it possible toallocate the reserved capacity to a differentproduct mix thereby reducing the planning timeto 0.5 days.
Select Solutions Delivered
Vehicle Routing and Scheduling solution for
Sonar Technologies -Australia
Sonar Technologies, an Australian company providesvehicle routing planning services to home servicescompanies, pest control companies, industrial carpetcleaning companies etc.
The requirement was to deliver a large scale vehiclerouting and scheduling solution that could process50,000 jobs and 500 vehicles.
In production, our VRS solution is being used toplan for 8,000 jobs and 500 vehicles everyday.
A 13% reduction in fuel cost and 8% reductionin number of vehicles used has been achieved.
Select Solutions Delivered
Production Planning solution for
Dow Chemicals - USA
The WPS division of Dow chemicals was using unconstrained production planning.
A constrained planning solution, reduced the planning time from 3 days to 0.5 days and the average inventory levels were reduced from 25 days to 17 days
Select Solutions Delivered
Production Scheduling solution for
St. Onge - USA
An FMCG company in Sweden was de-palletizing,grouping and re-palletizing to create rainbow pallets.This was done on a FIFO basis based on the orderplacement and was not linked to the dispatchschedule.
Because of this, many finished pallets had to wait inthe docking area blocking precious docking space.
A production schedule based on the dispatchtime that was derived from the requirementtime (and not based on the ordering time)helped schedule the right pallets through thede-palletizing/palletizing line and reduced thewaiting time by 4 Hrs.
Select Solutions Delivered
Spare Parts Planning solution for
Intel Fab - Israel
For Intel’s fabrication plant in Israel, spare partsplanning was done manually.
The spare parts consumption data was split intopreventive maintenance requirements andbreakdown maintenance requirements.
Breakdown maintenance requirements were fitted toa Poisson distribution and the parameters wereestimated.
Preventive maintenance forecast quantity wassuperimposed with the breakdown forecast to arriveat the total spare parts forecast.
An analytical framework for determining thespare parts requirement helped in reducing theaverage inventory levels by 19%, keeping theSLA the same.
Warehouse Dock Scheduling solution for
St. Onge - USA
St. Onge, one of the top 3 supply chain consultingcompanies in the US, was helping an FMCG companyin Sweden to optimize the Warehouse operations
The dispatch service level was very low as most of thetrucks were getting delayed during loading.
Utilization of loading docks was low as the waitingtime was high
Capacity utilization of loading and handling machineswas high because of unnecessary movement ofgoods
A scheduling solution was developed tostreamline the end to end loading processesand by adhering to the capacity and timingconstraints
Select Solutions Delivered