• DocumentCode
    508166
  • Title

    A Simulation Analysis on Evolutionary Game of Information Sharing in Supply Chain Based on Multi-agent

  • Author

    Zhang, Yaofeng ; Xiao, Renbin

  • Author_Institution
    Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    5
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    523
  • Lastpage
    526
  • Abstract
    The repeated game theory model of information sharing in supply chain is formulated in this paper. By the simulation experiments based on Multi-Agent, we analyze the influence of forming and maintaining the cooperation of information sharing in supply chain. It´s found that the sharing costs and the punitive coefficient are the main factors influencing the level of cooperation in supply chain. In addition, we put forward the corresponding measures of enhancing the level of cooperation at the end of this paper.
  • Keywords
    game theory; multi-agent systems; supply chains; evolutionary game; game theory model; information sharing; multi-agent systems; punitive coefficient; simulation analysis; supply chain; Analytical models; Computational modeling; Costs; Game theory; Information analysis; Maintenance engineering; Mathematics; Statistics; Supply chain management; Supply chains; Information sharing; Multi-Agent; Simulation; evolutionary game; supply chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation, 2009. ICNC '09. Fifth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3736-8
  • Type

    conf

  • DOI
    10.1109/ICNC.2009.348
  • Filename
    5365750