LOGISTICS (3 Credits)

Learning Outcomes:

At the end of this course, students will be able to: Explain the model for industrial logistics problems of its objectives, constraints and decision variables; Design logistics systems of its engineering design method; Distinguish major classes of industrial logistics systems, operations and most significant characteristics; Solve the variants of industrial logistics problems with basic solution algorithm.

Topics:

1. How Logistics Systems Work;
2. Logistics Decision and Further Supply Chain Engineering;
3. Demand Forecasting Methods;
4. Causal Methods;
5. The Constant Trend Case;
6. The Linear Trend Case;
7. The Seasonal Effect Case;
8. Advanced Forecasting Methods;
9. Selection and Control of Forecasting Methods;
10. Transport Fundamentals;
11. Transport Decisions;
12. Planning and Managing Long Haul Freight Transportation;
13. Planning and Managing Short Haul Freight Transportation;
14. Inventory Policy Decisions;
15. Supply Chain Systems and Models;
16. Designing the Logistics Network;
17. Global Logistics Systems