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Discrete Event Simulation and Optimization - WGUS8042

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  • Number of hours

    • Lectures : 27.0
    • Tutorials : -
    • Laboratory works : 21.0
    • Projects : -
    • Internship : -
    • Written tests : -
    ECTS : 6.0

Goals

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 and to solve them with optimization tools.

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.

Content

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
*Introduction to the optimization solver of Excel
*Analysis of results

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.

Prerequisites

Basic knowledge on Probability, Statistics and Analysis

Tests

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 FR

Calendar

The course exists in the following branches:

  • Curriculum - Master 1 GI SIE program - Semester 8 (this course is given in english only EN)
see the course schedule for 2022-2023

Additional Information

Course ID : WGUS8042
Course language(s): FR

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.

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Date of update June 20, 2022

Université Grenoble Alpes