Course WIW-WIN-OLS-K-7
Optimization of Logistics Systems (2K, 3.0 LP)
Course Type
| SWS | Type | Course Form | CP (Effort) | Presence-Time / Self-Study | |
|---|---|---|---|---|---|
| 2 | K | 3.0 CP | 30 h | 60 h | |
| (2K) | 3.0 CP | 30 h | 60 h | ||
Basedata
| SWS | 2K |
|---|---|
| CP, Effort | 3.0 CP = 90 h |
| Position of the semester | 1 Sem. in SuSe |
| Level | [7] Master (Advanced) |
| Language | [DE] German |
| Lecturers | |
| Area of study | [WIW-WIN] Business Information Systems and Operations Research |
| Livecycle-State | [NORM] Active |
Contents
-
Introduction to Logistics Optimization
- Demand Analysis
- Logistic demand analysis and data procurement.
- Basic concepts of demand forecasting (time series)
- Problems involved in getting other data (costs, maps, position of vehicles etc)
-
Logistic Network Design
- Location problems, single and multi-echelon transportation and location models.
- Inventory management. Basic concepts and introduction to single stocking and multi stocking inventory problems
- Warehouse design and management. Internal structure, storage infrastructures and mechanism, Warehouse design and dimensioning, Tactical and operational problems
-
Long vs. Short Haul Freight Transportation
- Vehicle Loading Issues
- Freight assignment, service network design, shipment consolidation, vehicle and driver assignment problems
- Distribution and collection of goods to local destinations.
- The Vehicle Routing Problem family
- Main solution techniques
Literature
Slides with in-depth references for further reading will be made available.
Requirements for attendance (informal)
None
Requirements for attendance (formal)
None
References to Course [WIW-WIN-OLS-K-7]
| Module | Name | Context | |
|---|---|---|---|
| [WIW-WIN-CIN-M-7] | Computational Intelligence | P: Obligatory | 2K, 3.0 LP |