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Production and Operations Management - WGUS1044

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  • Number of hours

    • Lectures : 24.0
    • Laboratory works : 24.0
    ECTS : 3.0

Goals

Expected skills:

  • General understanding of the planning tasks along the supply chain.
  • General knowledge about the key problems encountered in various contexts of operations management: production planning, picking in warehouses, transport planning, timetabling
  • Knowing, understanding and knowing how to apply the methods:
    • Mixed Integer Linear Programming(assuming your know Linear Programming)
    • MRP methods
  • Being able to model some classical problems in production and operations management.
Contact * ENSEIGNANT À PRÉCISER

Content

Methods:

  • Material Requirement Planning
  • Mixted integer programming: Modeling, branch and bound, linear relaxation, quality of formulation

Application's domain:

  • Production Planning (a case study in the automotive industry)
  • Picking
  • Timetabling


Prerequisites

Linear Programming:

  • modeling using Linear Programming
  • The simplex algorithm
  • Duality theory
    Chapters 1-2-5 of "Vasek Chvatal, Linear Programming, W. H. Freeman, Sep 15, 1983"

Basic knowledge in algorithmic and graph algorithms.

Tests

CC = Continuous assessment
E1 = Final oral or written exam from the 1st exam period
N1 = Final mark from the 1st exam period
N2 = Final mark from the 2nd exam period

N1 = 0.4*CC + 0.6*E1
N2 = E2



N1 = 0.4*CC + 0.6*E1
N2 = E2

Additional Information

Curriculum->Master GI SIE program->Semester 8

Bibliography

1- Yves Pochet and Laurence A. Wolsey, Production Planning by Mixed Integer Programming, Springer 2006

2- H. Stadtler and C. Kilger, Supply Chain Management and Advanced Planning, Springer, 2002.

3- Vasek Chvatal, Linear Programming, W. H. Freeman, Sep 15, 1983

4- Sanjoy Dasgupta, Christos Papadimitriou and Umesh Vazirani, Algorithms, McGraw-Hill Education, 2008

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Date of update June 6, 2014

Grenoble INP Institut d'ingénierie Univ. Grenoble Alpes