Week 1 : Introduction to Modeling and Analytics in Supply Networks:
Introduction to Supply Network, Performance Measures for Efficiency and Effectiveness, SCOR model, Strategic Fit and Scope, Types of Distribution Networks, Analytics in Management, Design of Distribution Networks
Week 2 : Supplier Selection Analytics:
Linear Programming, Rating method, Ranking method, Borda Count, Clustering, Goal Programming and related multi-criterion decision making (MCDM) techniques
Week 3 : Transportation Modeling and Analytics:
Transportation models, Route planning, Transshipment, Shipment schedule, Flow path optimization.
Week 4 : Warehousing Modeling and Analytics:
Warehouse location problem, MILP formulation, Location with foreign exchange risks, space calculation for warehouse, Non-linear optimization for warehouse space allocation
Week 5 : Strategic Performance Improvement:
Data Envelopment Analysis for competitive comparisons among multiple warehouses and service units and formulation of strategic action plans for improving the efficiencies of non-performing DMUs, Stochastic Frontier Analysis.
Week 6 : Inventory Analytics - I:
Elementary Concepts related to Inventory Management, Economic Order Quantity (Instantaneous Replenishment), Economic Production Lot Size, Inventory Model with Planned Shortages (Back-Orders), Inventory Management under Uncertainty – Concept of Safety Stock, Continuous Review System, Periodic Review System
Week 7 : Inventory Analytics - II:
Newsvendor Model, Performance Measures: Expected Lost Sales, Expected Sales, Expected Leftover Inventory, Expected Profit, Fill Rate, In-Stock Probability, and Stock-Out Probability
Week 8 : Inventory Analytics - III:
Choosing an Order-up-to Level to Meet a Target Service Level, In-Stock Probability, and Desired Fill-Rate
Week 9 : Inventory Analytics - IV:
Assemble-to-Order, Make-to-Order and Quick Response with Reactive Capacity, Reducing Mismatch Costs with Make-To-Order
Week 10 : Modeling Coordination in Supply Chains:
Information Distortion in Supply Network and Bull-Whip Effect, Coordination and collaboration modeling in supply networks.
Week 11 : Risk Analytics in Supply Network Design:
Mapping the riskiness profile of a country, taxation, Mapping the riskiness profile of possible international routes and Designing the route plan based on riskiness profile
Week 12 : Design and Modeling the global supply chain:
Design and optimization of global supply chain networks, Multi-period supply chain network design