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Decision Making under Scenario Uncertainty in a Requirement Planning

  • Romain Guillaume
  • Paweł Zieliński
Part of the Communications in Computer and Information Science book series (CCIS, volume 300)

Abstract

The paper deals with a collaborative supply chain, where actors use Material Requirement Planning (MRP) with uncertain demands. The demand uncertainty is modeled by a scenario set containing all possible demand realizations. Three scenario based uncertainty representations are examined. The min-max and the Hurwicz criterion and the ordered weighted averaging aggregation(OWA) are adopted to choose a best production or procurement plan under the assumed uncertainty models. Efficient solution methods for finding optimal plans with respect to each optimization criterion are provided.

Keywords

supply chain requirement planning uncertain demands scenarios robust optimization 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Romain Guillaume
    • 1
  • Paweł Zieliński
    • 2
  1. 1.Université de Toulouse-IRITToulouse Cedex 1France
  2. 2.Faculty of Fundamental Problems of TechnologyWrocław University of TechnologyWrocławPoland

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