Module Logistics Planning under Uncertainty
General information
- Lecturer: Dr. Alan Osorio Mora
- Term: Summer term
- Module number: WIW-LOG-LPU-K-7
- Language: Englisch
- Credit points: 4,5 CP
- Examination: Written Exam (60 min)
Examination cycle: two exam options in the term of the course (no exam in terms without the course)
Literature
Birge, J., Louveaux, F. (2011). Introduction to Stochastic programming (2nd edition), Springer Verlag, New York.
Further literature will be announced via the OLAT course.
Content
Upon successful completion of the module, students will be able to ...
- analyse, structure, formalise through models and solve complex logistics problems under uncertainty,
- design and implement algorithms for solving different types of stochastic programming problems,
- analyse the relevance of capturing uncertainty into logistics problems through standard metrics,
- transfer the methods learned to tasks that are new to them.
Requirement for participation
Basic knowledge of linear and mixed-integer optimization is required.