040897 KU LP Modeling II (MA) (2019S)
- Registration is open from Mo 11.02.2019 09:00 to We 20.02.2019 12:00
- Registration is open from Tu 26.02.2019 09:00 to Tu 14.05.2019 12:00
- Deregistration possible until Tu 14.05.2019 23:59
Classes (iCal) - next class is marked with N
Aims, contents and method of the course
Assessment and permitted materials
30 % group homework
5 % presentation (date: June 13th, 2019)
40 % final exam (closed book; on paper) (date: June 18th, 2019)
Minimum requirements and assessment criteria
4: 50% to <63%
3: 63% to <75%
2: 75% to <87%
1: 87% to 100%
- Transportation / assignment problems
- Transshipment and warehouse location problems
- Vehicle routing problems
- Network flow problems
- Network design problems
- Lot-sizingFurthermore, the exam will include parts where students need to show the implementation skills acquired during lessons and homework by writing Mosel code on paper (e.g. how the implementation of a certain constraint would look like, how one has to declare variables, etc.) and by explaining a given Mosel code and/or finding errors in it.
* Papadimitriou, C. H., & Steiglitz, K. (1998). Combinatorial Optimization: Algorithms and Complexity. Dover Publications.
* Guéret, C., Prins, C., & Sevaux, M. (2002). Applications of optimisation with Xpress-MP. Dash optimization.
* Hillier, F. S., & Lieberman, G. J. Introduction to Operations Research. McGraw-Hill.
* Anderson, D. R., Sweeney, D. J. An introduction to management science: quantitative approaches to decision making. South-Western.