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Discrete Event Simulation - WGUS2024

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  • Number of hours

    • Lectures : 18.0
    • Tutorials : ?
    • Laboratory works : 36.0
    • Projects : ?
    • Internship : ?
    • Written tests : ?
    ECTS : 6.0

Goals

The aim of this course is to provide students with the necessary knowledge to model complex discrete event systems and analyse them via simulation. Students will learn about the main steps to follow, in order to carry out and succeed a simulation project. ARENA simulation software will be used throughout the course.

Contact Gülgün ALPAN-GAUJAL

Content

  • 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

The students will carry out a simulation 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 and Statistics.

Tests

Semester 8 - The exam is given in english only 

Evaluation is based on the simulation project and continuous assessment.



  • Written Assumptions Report (25%)
  • Continuous assessment (25%)
  • Final report (50%)

Additional Information

Semester 8 - This course is given in english only EN

Curriculum->Master GI SIE program->Semester 8

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 6, 2014

Grenoble INP Institut d'ingénierie Univ. Grenoble Alpes