040897 KU LP Modeling II (MA) (2020S)
- Registration is open from Mo 10.02.2020 09:00 to We 19.02.2020 12:00
- Registration is open from Tu 25.02.2020 09:00 to Th 07.05.2020 12:00
- Deregistration possible until Sa 09.05.2020 23:59
Classes (iCal) - next class is marked with N
Due to the current situation, the course will rely on home learning. The dates for the group presentation / exam / homework will remain as originally planned but they will take place online via Moodle. Details will be available in Moodle.
Aims, contents and method of the course
Assessment and permitted materials
30 % group homework (due: July 15th, 2020 via Moodle)
5 % presentation (date: June, 10th, 2020 via Moodle)
40 % final exam (date: June 18th, 2020 via Moodle)
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.