DE / EN

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
  • Tijms HC (1994). Stochastic Models: An Algorithmic Approach, Wiley
  • Zipkin P (2000). Foundations of Inventory Management, McGraw-Hill
  • Talluri K, van Ryzin G (2004). The Theory and Practice of Revenue Management, Kluwer Academic Publishers.

 

Courses                                                       Hours per week                  Self-study

Lecture                                                         2                                           14

ECTS in total                                                                                              8

 

Form of assessment  

 

Presentation during the course

Lecturer/Person in charge

Prof. Dr. Ger Koole

Duration of module

1 term

Offering

FSS

ILIAS group

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Language

English

Range of application

PhD students