Number of hours
- Lectures 27.0
- Projects -
- Tutorials -
- Internship -
- Laboratory works 21.0
- Written tests -
ECTS
ECTS 6.0
Goal(s)
The aim of this course is to provide students with the necessary knowledge to evaluate the performance of discrete event systems and to optimize constrained problems derived from industry. This course is composed of a first part on discrete event simulation and a second part on linear programming.
In discrete event simulation, you will learn how to model complex discrete event systems, to analyze them and to improve them via simulation.
In linear programming, you will learn how to identify decision criteria and constraints of industrial problems, to model them using mathematical formulations, to solve them with optimization tools and to analyse a solution of the problem. You will also learn how to link optimisation with simulation.
The students will learn about the main steps to follow, in order to carry out and succeed in a simulation and optimization project. ARENA simulation software and Excel solver will be used throughout the course.
Responsible(s)
Content(s)
In simulation:
*Introduction to discrete event simulation: Elements of discrete event simulation models and main steps of a simulation project.
*Introduction to ARENA simulation software
*Input data analysis
*Verification of a simulation model
*Validation of a simulation model
*Design of experiments for simulation and sensitivity analysis
*Output data analysis: analyzing results of a simulation
In optimization:
*Modeling of an industrial problem using linear programming
*Analysis of results provided by the optimization solver of Excel
*Coupling of an optimization model with a simulation model
The students will carry out a project throughout the course. The project will be supervised and commented by the professor during the dedicated project sessions. However, individual work is required, to accomplish the project goals.
PrerequisitesBasic knowledge on Probability, Statistics and Analysis
Test
Evaluation is based on the simulation project and continuous assessment.
- Written Assumptions Report (25%)
- Continuous assessment (25%)
- Final report (50%)
These percentages are compatible with an organization of courses and evaluations in distance learning
The exam is given in english only 
Calendar
The course exists in the following branches:
- Curriculum - Master 1 GI SIE program - Semester 8 (this course is given in english only
) - Curriculum - Master 1 GI program GID - Semester 8 (this course is given in english only )
Additional Information
Course ID : WGUS8042
Course language(s):
You can find this course among all other courses.
Bibliography
- A.M. Law, Simulation Modeling and Analysis, McGraw Hill, 4th edition, 2006.
- T. Altiok, B. Melamed, Simulation Modeling and Analysis with ARENA, Elsevier, 2001.