• DocumentCode
    2789352
  • Title

    Stackelberg game model of a supply chain under lead-time-dependent demand uncertainty

  • Author

    Jin, Jiao ; Xiao, Tiao-jun ; Fan, Dong

  • Author_Institution
    Sch. of Manage. Sci. & Eng., Nanjing Univ., Nanjing, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    4489
  • Lastpage
    4493
  • Abstract
    This paper develops a Stackelberg game theoretic model of a supply chain consisting of one manufacturer and one retailer to study pricing and production planning about lead-time and quantity. We assume that the retailer faces an uncertain demand where the uncertainty is related to lead-time. We investigate how uncertainty, capacity and salvage value influence the equilibrium outcome. We find that manufacturer´s maximum output within the lead-time is always equal to the retailer´s order quantity and the manufacturer can adjust the lead-time because the retailer can influence the demand by adjusting retail price. When the demand uncertainty is sufficiently small, the manufacturer shares most of the risk from demand uncertainty; otherwise, the retailer has to share part of the risk.
  • Keywords
    game theory; industrial economics; lead time reduction; order processing; pricing; production planning; retailing; risk management; supply and demand; supply chain management; Stackelberg game theoretic model; lead-time-dependent demand uncertainty; manufacturer-retailer model; production planning; retail pricing; retailer order quantity; risk sharing; salvage value; supply chain management; Costs; Demand forecasting; Economic forecasting; Game theory; Pricing; Production; Supply chain management; Supply chains; Uncertainty; Virtual manufacturing; demand uncertainty; game theory; lead-time; pricing; supply chain management;
  • 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.2009.5192253
  • Filename
    5192253