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Performance Evaluation of Production Systems - WGUS1065

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  • Number of hours

    • Lectures : 24.0
    • Tutorials : -
    • Laboratory works : 24.0
    • Projects : -
    • Internship : -
    • Written tests : 2.0
    ECTS : 3.0
  • Officials : Maria DI MASCOLO

Goals

The aim of this course is to provide students with the necessary knowledge to model Production Systems and analyze them in order to assess their performance, in a stochastic environment.
In order to reach this aim, some modeling tools for Discrete Event Systems are studied, and it is shown how to use these tools to model Production Systems and analyze them in order to understand and optimize their behavior.

Content

I. INTRODUCTION TO THE PERFORMANCE EVALUATION (1,5 hours):

  • Why is it necessary to assess the performance of a production system?
  • Steps of a performance evaluation
  • Discrete Event Systems Modeling

II. SOME TOOLS FOR THE MODELING AND THE ANALYSIS OF PRODUCTION SYSTEMS (16,5 hours):

  • Markov Chains (2 hours)
    • Probability theory and stochastic processes
    • Continuous Markov chains - Definition, Modeling, Resolution
  • Queueing networks (6,5 hours )
    • Generalities on queueing networks
    • Analysis of a single queue
    • Product form queueing networks - exact analysis
    • Some elements for the resolution of non product form queueing networks
  • Petri nets (8 hours)
    • Presentation of the tool
    • Formalization and Dynamics
    • Qualitative properties
    • Some elements for the quantitative analysis

III. MODELING PHYSICAL FLOWS IN PRODUCTION SYSTEMS (4,5 hours):

  • Bottleneck analysis
  • Importance of stochastic phenomena

Prerequisites

Basic Probability and Statistics

Tests

CC = Continuous assessment

E1 = Final written exam from the 1st exam period
E2 = Final written exam from the 2nd exam period

N1 = Final mark from the 1st exam period
N2 = Final mark from the 2nd exam period

N1=0,3*CC+0,7*E1
N2= E2

This weighting is compatible with a distant organization of teaching and exams.

N1 = 0,3*CC+0,7*E1

N2 = E2

Cette pondération est compatible avec une organisation des enseignements et des examens en distanciel
This weighting is compatible with a distant organization of teaching and exams.

The exam is given in english only FR

Calendar

The course exists in the following branches:

  • Curriculum - Master GI SIE program - Semester 7 (this course is given in english only EN)
see the course schedule for 2021-2022

Additional Information

Course ID : WGUS1065
Course language(s): FR

You can find this course among all other courses.

Bibliography

  • “Discrete, Continuous, and Hybrid Petri Nets”, R David and H Alla, Berlin, Springer-Verlag, 2005
  • “ Queueing Systems ”, L. Kleinrock, Wiley, New York, Vol 1 1975, Vol.2 1976
  • “ Modelling of computer and communication systems ”, I. Mitrani, Cambridge Computer Science texts 24, 1987
  • “Discrete Event Systems - Modeling and performance analysis”, C. G. Cassandras, Richard D. Irwin, Inc., and Asken Associates, Inc., 1993
  • “The Goal: A Process of Ongoing Improvement”, EM Goldratt and J Cox, NORTH RIVER PR INC, 2012

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Date of update June 30, 2015

Université Grenoble Alpes