• DocumentCode
    614752
  • Title

    Inventory management with supplier selection problem: Supply uncertainty

  • Author

    Aouadni, Sourour ; Rebai, Abdelwaheb

  • Author_Institution
    MODILS FSEG, Univ. of Sfax, Sfax, Tunisia
  • fYear
    2013
  • fDate
    28-30 April 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Supply uncertainty can have a very radical impact on firms who fail to protect against it. It appears that the quantity delivered by the supplier is random. In this paper, we develop a mixed integer non linear programming model for a mono-item multi-period inventory management decision and supplier selection problem under random yield. The yield of supplier is random. The buyer needs to answer three questions: how much to command? what is supplier selected? and in which period? The complexity of this problem is NP-hard. We used a genetic algorithm (GA) to solve this problem.
  • Keywords
    genetic algorithms; integer programming; inventory management; nonlinear programming; supply chain management; GA; NP-hard problem; genetic algorithm; mixed integer nonlinear programming model; mono-item multiperiod inventory management decision; random yield; supplier selection problem; supply uncertainty; Genetic algorithms; Inventory management; Linear programming; Sociology; Statistics; Stochastic processes; Uncertainty; Inventory lot-sizing; Mixed integer programming; Order quantities; Supplier Selection; Supply uncertainty; genetic algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling, Simulation and Applied Optimization (ICMSAO), 2013 5th International Conference on
  • Conference_Location
    Hammamet
  • Print_ISBN
    978-1-4673-5812-5
  • Type

    conf

  • DOI
    10.1109/ICMSAO.2013.6552577
  • Filename
    6552577