OPM 802 Dynamic and Stochastic Models in Supply Chain Research
Content:
The course introduces some fundamental techniques for stochastic modelling and optimization, and it discusses their application in supply chain research. Key topics include:
- Stochastic processes,
- Markov chains,
- stochastic dynamic programming,
- inventory theory,
- revenue management.
Prerequisites: Fundamentals in mathematics and statistics
- Formal: none
- Literature:
- Porteus EL (2002). Foundations of Stochastic Inventory Theory, Stanford Business Books
- Puterman M (1994). Markov Decision Processes: Discrete Stochastic Dynamic Programming, Wiley
Courses Hours per week Self-study Lecture 2 14 ECTS in total 8 | |
Form of assessment | Presentation during the course |
Lecturer/ | Prof. Dr. Ger Koole |
Duration of module | 1 term |
Offering | FSS |
ILIAS group | please click here |
Language | English |
Range of application | PhD students |