Logistics Systems

Lecture Notes

 

SES #

TOPICS

1

Course introduction and objectives

Concepts and approaches to supply chain uncertainty

2

Supply chain fundamentals and segmentation analysis (PDF)

3

Demand forecasting I: Time series analysis (PDF)

4

Demand forecasting II: Causal analysis (PDF)

5

Demand forecasting III: New product forecasting (PDF) (Courtesy of Mahender Singh. Used with permission.)

6

Demand forecasting IV: Connections to planning and management (PDF) (Courtesy of Larry Lapide. Used with permission.)

7

Inventory management I: Level demand, EOQ, sensitivity (PDF)

8

Inventory management II: EOQ extensions, discounts, exchange curves, etc. (PDF)

9

Inventory management III: Time-varying demand (fixed horizon) (PDF)

10

Review of probability and statistics using Excel and textbook

11

Inventory management IV: Probabilistic demand, safety stock (PDF)

12

Inventory management V: Backorder costs, implied costs, extensions, A and C items (PDF)

13

Problem solving session: Probabilistic demand (PDF)

14

Inventory management VI: Special products — fashion, style, and perishable goods (PDF)

15

Inventory management VII: MRP and DRP systems (PDF - 1.6 MB)

16

Inventory management VIII: Inventory management and optimization in practice (PDF) (Courtesy of Edgar Blanco. Used with permission.)

17

Supply chain network design (PDF)

18

Supply chain contracts (PDF)

19

Auctions in supply chain management (PDF)

20

Transportation I: Fundamental concepts, strategic networks, connection to inventory planning (PDF - 1.0 MB)

21

Transportation II: Operational network analysis (PDF)

22

Transportation III: Routing and scheduling approaches and algorithms

23

Transportation IV: Shipper perspective — strategies and approaches for design and management (PDF)

24

Transportation V: Procurement and use of combinatorial auctions

25

Transportation VI: Carrier operations and yield management (PDF)

26

Risk pooling strategies and approaches

Putting it all together — what really happens in practice?

27

Final exam

Assignments

Students were required to complete four individual assignments and three team assignments.

Individual Assignments

Problem Set 1 (PDF)
Supporting Data: assn1data.xls (XLS)

Problem Set 2 (PDF)

Problem Set 3 (PDF)

Problem Set 4 (PDF)

Team Assignments

Team Assignment 1 (PDF)
Supporting Data: team1data.xls (XLS)

Team Assignment 2 (PDF)

Team Assignment 3 (PDF)
Supporting Data: team3data.xls (XLS)