• DocumentCode
    2285566
  • Title

    Research on supply chain price-only contract based on mean-CVaR model

  • Author

    Mai, Qiang ; Mu Yong-guo ; An Shi ; Zhao, Qian

  • Author_Institution
    Sch. of Sci. & Eng. on Transp., Harbin Inst. of Technol., Harbin, China
  • fYear
    2009
  • fDate
    14-16 Sept. 2009
  • Firstpage
    414
  • Lastpage
    418
  • Abstract
    The wholesale price contract and the dual purchase contract are the most common contracts in supply chain because they are price-only contracts. The traditional researches always neglect the risk aversion of decision maker in these supply chain. In order to consider the risk aversion in the supply chain, the CVaR model of loss in revenue of retailer in the two styles contracts under a two-level supply chain is proposed in this paper according to the definition of CVaR which always used in financial engineering. Consequently, the mean-CVaR models of the two kinds of contracts which aimed at the revenue maximization with the CVaR risk explosion constrains is proposed. The numerical results indicate that the dual purchase contract achieves strict Pareto improvement over the wholesale price contract with more revenue and less risk explosion.
  • Keywords
    contracts; decision making; financial management; optimisation; pricing; purchasing; supply chains; decision maker; dual purchase contract; financial engineering; mean-CVaR model; revenue maximization; risk aversion; supply chain price-only contract; wholesale price contract; Conference management; Contracts; Demand forecasting; Economic forecasting; Engineering management; Finance; Financial management; Supply chain management; Supply chains; Technology management; dual purchase; mean-CVaR model; risk aversion; supply chain; wholesale contract;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering, 2009. ICMSE 2009. International Conference on
  • Conference_Location
    Moscow
  • Print_ISBN
    978-1-4244-3970-6
  • Electronic_ISBN
    978-1-4244-3971-3
  • Type

    conf

  • DOI
    10.1109/ICMSE.2009.5317422
  • Filename
    5317422