Operational Research

mqant1328  2022-2023  Mons

Operational Research
5.00 credits
30.0 h + 15.0 h
Q2
Teacher(s)
Mareschal Bertrand (compensates Meskens Nadine); Meskens Nadine; Tancrez Jean-Sébastien (coordinator);
Language
French
Prerequisites
  • Linear programming
  • Basics in probability

The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
Main themes
  • Multi-objective optimization
  • Multi-criteria decision support methods
  • Stochastic modeling and uncertainty management
  • Queuing theory
Learning outcomes

At the end of this learning unit, the student is able to :

1 Given the « competencies referential » linked to the LSM Bachelor in Management and Business Engineering, this course mainly develops the following competencies:
  • 2. Acquire a knowledge base
  • 3. Apply a scientific approach
  • 6. Become a team player
  • 8. Communicate

At the end of the class, the student will be able to:
  • make decisions on a quantitative basis in a digital world
  • analyze an optimization problem with multiple criteria
  • find the balance between several discordant goals
  • apply appropriate techniques to assist in decision-making in the presence of multiple criteria
  • understand the impact of uncertainty on operational problems
  • model simple systems influenced by hazards
  • discover the optimal policy to choose in an uncertain environment
 
Bibliography
  • HILLIER F.S. and LIEBERMAN G.J. (2010), Introduction to Operations Research, 9th edition, McGraw-Hill.
  • WINSTON W.L. (2004), Operations Research : Applications and Algorithms, Duxbury Press.
  • POMEROL J.C., BARBA-ROMERO S. (1993), Choix multicritère dans l'entreprise, Hermes.
Faculty or entity
CLSM


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Bachelor : Business Engineering
INGM1BA
5
MQANT1227