• DocumentCode
    476097
  • Title

    Supply chain network dynamics with multi-objective decision under demand uncertainty

  • Author

    Mai, Qiang ; An, Shi ; Wang, Jian

  • Author_Institution
    Sch. of Sci. & Eng. on Commun., Harbin Inst. of Technol., Harbin
  • Volume
    3
  • fYear
    2008
  • fDate
    12-15 July 2008
  • Firstpage
    1710
  • Lastpage
    1715
  • Abstract
    The dynamics of a three tiers supply chain network in the presence of demand uncertainty is considered in this paper. The objective is assessed by taking into account not only the profit over the time horizon, but also the resulting uncovered demand satisfaction. An equilibrium variational inequality (VI) for all the nodes of the supply chain is derived. The proposed model is tested using modified Goldstein-Levitin-Polyak projection algorithm. A numerical example is provided for illustrative purpose. And the results illustrate the demand satisfaction tends to reduce the amount of product flow between node of the supply chain.
  • Keywords
    supply chain management; variational techniques; Goldstein-Levitin-Polyak projection algorithm; demand uncertainty; equilibrium variational inequality; multiobjective decision; product flow; three tier supply chain network dynamics; uncovered demand satisfaction; Control system synthesis; Costs; Cybernetics; Electronic mail; Machine learning; Predictive models; Projection algorithms; Supply chains; Testing; Uncertainty; Supply chain; demand uncertainty; modified Goldstein-Levitin-Polyak Projection Algorithm; multi-objective decision; variational inequality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2008 International Conference on
  • Conference_Location
    Kunming
  • Print_ISBN
    978-1-4244-2095-7
  • Electronic_ISBN
    978-1-4244-2096-4
  • Type

    conf

  • DOI
    10.1109/ICMLC.2008.4620681
  • Filename
    4620681