• DocumentCode
    3125242
  • Title

    A game theoretic approach to product-mix resource allocation

  • Author

    Yunzhi, Wang ; Yaoguang, Hu ; Yanhua, Jia ; Ruijun, Zhang

  • Author_Institution
    Sch. of Mech. & Vehicular Eng., Beijing Inst. of Technol., Beijing, China
  • fYear
    2010
  • fDate
    15-17 June 2010
  • Firstpage
    2142
  • Lastpage
    2147
  • Abstract
    In view of the common issue of product-mix resource allocation decision under limited manufacturing resource, this article proposes a new approach based on game theory. Firstly, a quantification method is applied to represent the utility of manufacturing resource and strategy profile, and then a multi-dimension game model is presented using these quantified manufacturing data as element of game theory. By solving the game model, the Nash equilibrium solution is regarded as optimal resource allocation strategy. The goal of the solution is to maximize the individual profit of each product. The desired equilibrium will meet the requirements for resource by the greatest degree to make each product achieve optimal production status, simultaneously the enterprise will get higher rate of return on investment.
  • Keywords
    game theory; resource allocation; Nash equilibrium solution; game theory; optimal production status; optimal resource allocation; product-mix resource allocation; quantification method; return on investment; Agricultural engineering; Cost function; Data mining; Decision making; Delta modulation; Game theory; Manufacturing processes; Production; Resource management; Virtual manufacturing; Game Theory; Multi-dimension Game Model; Product-Mix Resource Allocation; Quantitation Decision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference on
  • Conference_Location
    Taichung
  • Print_ISBN
    978-1-4244-5045-9
  • Electronic_ISBN
    978-1-4244-5046-6
  • Type

    conf

  • DOI
    10.1109/ICIEA.2010.5516640
  • Filename
    5516640