• DocumentCode
    2794507
  • Title

    Study on new coordination mechanisms of generalized supply chains with loss-averse agents+

  • Author

    Tian, Yu ; Gong, Yan-xue ; Sun, Shao-chao

  • Author_Institution
    Coll. of Logistics Eng., Shanghai Maritime Univ., Shanghai, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    4288
  • Lastpage
    4293
  • Abstract
    Behavioral factors become one of the main concerns of research on supply chains. The modeling and coordination issues are addressed among supply chains with loss-averse agents. Specifically, a generalized supply chain model is firstly established under the framework of behavioral decision theory and Pareto optimality, and then the optimal sharing rules and joint action pairs are successively derived. Furthermore, the coordination problem is examined in a two-stage specific case. It indicates that the limitation exists in traditional buyback and revenue sharing contracts, and two incentive restraint mechanisms based on gain-loss sharing contract are proposed to help accomplish the optimum performance.
  • Keywords
    Pareto optimisation; supply chains; Pareto optimality; behavioral decision theory; behavioral factors; buyback sharing contract; coordination mechanisms; gain-loss sharing contract; generalized supply chains; joint action pairs; loss-averse agents; optimal sharing rules; revenue sharing contract; Automation; Contracts; Decision theory; Educational institutions; Logistics; Manufacturing; Standards development; Sun; Supply chain management; Supply chains; Coordination Mechanism; Gain/loss Sharing; Loss-averse; Pareto Optimality; Supply Chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5192535
  • Filename
    5192535