• DocumentCode
    3453524
  • Title

    Research on Optimization Model of Attention Degree for Enterprises in Supply Chain Alliance Based on CVaR Method

  • Author

    Chang-Bao Zhong ; Xiao-Ping Wei ; Yong-Qi Xu

  • Author_Institution
    Sch. of Manage., China Univ. of Min. & Technol., Xuzhou
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Supply chain alliance has become a new form of organization and cooperation in enterprise led by alliance idea of "Growth externalization, control internalization", but there is much risk in the alliance because of "sole win" subconsciousness of many alliance enterprises. The alliance enterprises must give different degrees of attention to other alliance enterprises in order to realize anticipative strategic objective in the risky surrounding. The paper identifies and measures attention degree to other alliance enterprises by setting up optimization model of attention degree for enterprises in supply chain alliance based on CVaR, so to provide the basis for taking different management measures according to various attention degrees of targets, maintaining and obtaining maximum return for alliance enterprises. At same time alliance ability of alliance enterprises will be improved to a certain extent.
  • Keywords
    corporate modelling; optimisation; supply chain management; CVaR method; anticipative strategic objective; control internalization; enterprises; growth externalization; management measures; optimization model; risky surrounding; supply chain alliance; Investments; Market opportunities; Optimization methods; Portfolios; Reactive power; Supply chain management; Supply chains; Technology management; Time factors; Weight measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.1553
  • Filename
    4679461