Teachers
Prof. Etienne Loute, Prof. Laurence Wolsey
Language
English
Semester
1st Semester
Aims
At the end of the class, students should be able to:
- Set up supply chain optimization problems in a spreadsheet and in modelling language environment
- Demonstrate a capability to cope with computational issues beyond straightforward use of off the shelf supply chain optimization software
- Understand techniques allowing to cope with computationally challenging models in production management.
- Develop a formal approach of organizational aspects of complex organizations or of complex planning problems through techniques based on large scale mathematical programming techniques.
Main themes
This course is aimed at providing an understanding of the structures behind supply chain optimization problems as well as an understanding of the methodological aspects of the corresponding solution techniques.
Program
Prerequisites
Introduction to operations management, production management and operations research
Basic knowledge of LP (simplex algorithm and duality), and MILP (branch and bound)
Introduction to computer programming and algorithms
First course in linear algebra
