• The aim of this course is to learn how to model complex discrete event systems and analyse them via simulation using ARENA software. • To be able to reach this aim, some modelling techniques and methods for analysing complex systems will be presented in a stochastic environment. • Students will learn about the main steps to follow in order to carry out a simulation project.
• Modelling physical flows in production systems (lectures and tutorials = 9 hours):
-Introduction: which performances, which methods -Bottleneck analysis: importance of stochastic phenomena -Modelling methodology -Studies of particular cases (production lines, Kanban systems)
• Discrete event simulation (lectures and tutorials = 15 hours):
-Introduction: Elements of discrete event simulation models -Analysis of input data -Definition of granularity, verification and validation of simulation models -Design of experiments for simulation and sensitivity analysis -Analysis of simulation results -Examples of modelling
• Project on modelling and simulating a complex system (12 hours of practical work)
Discrete Event Systems course, Basic Probability and Statistics course, basic knowledge of ARENA software is a plus.
Continuous assessment and homeworks.
Written project reports.
25% Continous control and homeworks 25% Written Assumptions Report 50% Final Report
The exam is given in english only
The course exists in the following branches:
Curriculum - M1 Industrial Engineering - Semester 8 (this course may be followed in french or in english )
Curriculum - Engineer student Master SCM - Semester 8 (this course may be followed in french or in english )