Supply Chain Management (FSI-SRR-A)

This subject aims to provide a comprehensive introduction to economics and management, specifically focusing on the financial aspects of supply chains. It leverages case studies to illustrate how general management methods are applied in real-world scenarios. Students will be introduced to dynamic lot sizing inventory models and stochastic and deterministic multi-echelon inventory systems.

Knowledge of probability and linear programming experience is required.

The subject provides an overview of economics and management terminology, emphasizing operations research models of problems arising in logistical planning.

The course is concluded by submitting a final semester project focusing on production/inventory/distribution strategies. The project must include at least 3,000 words and will be presented and defended.

Background:

1. Introduction and course overview

2. Basics of performance analysis techniques

Economic Lot Size Models with Constant Demands:

3. Introduction

4. Multi-Item Inventory Models

5. A Single Warehouse Multi-Retailer Model.

Economic Lot Size Models with Varying Demands:

6. The Wagner-Whitin Model.

7. Models with Capacity Constraints

Stochastic Inventory Models:

8. Finite Horizon Models.

9. Infinite Horizon Models

Facility Location Models:

10. p -Median Problem

11. A Distribution System Design Problem

12.-13. Integrated Logistics Models

In the first exercise, the final project will be assigned. Further exercises will follow the topics from the lectures from the previous week. The last two exercises are reserved for project presentations. 

Simchi-Levi, David, Xin Chen, and Julien Bramel. The Logic of Logistics: Theory, Algorithms, and Applications for Logistics and Supply Chain Management. 2nd ed. New York, NY: Springer, 2004. ISBN: 9780387221991.

Chopra, Sunil, and Peter Meindl. "Planning and Managing Inventories in a Supply Chain." Part IV in Supply Chain Management. 3rd ed. Prentice Hall, 2006, pp. 249-383. ISBN: 9780131730427