• DocumentCode
    3576679
  • Title

    Analysis of quantity discounts for multi-period production planning for single supplier and retailer under uncertain demands

  • Author

    Yoshida, Okihiro ; Nishi, Tatsushi ; Guoqing Zhang

  • Author_Institution
    Grad. Sch. of Eng. Sci., Osaka Univ., Toyonaka, Japan
  • fYear
    2014
  • Firstpage
    882
  • Lastpage
    886
  • Abstract
    Global supply chain management has an important role for globalization of marketplaces and global production. The production and distribution planning for suppliers and retailers with different objectives should be coordinated to minimize the total costs. However, it is well-known that the equilibrium solution for decentralized decision making is inferior to the solution of centralized problem. This study focuses on analysis of quantity discounts for multi-period production planning for single supplier and single retailer under uncertain demands. A Stackelberg equilibrium is analytically derived between single supplier and single retailer where supplier is a leader and retailer is a follower. An optimal discount contract is derived through the optimal solution of the centralized problem.
  • Keywords
    contracts; cost reduction; decision making; game theory; globalisation; mathematical programming; production planning; retailing; supply chain management; Stackelberg equilibrium; bilevel programming problem; decentralized decision making; distribution planning; global production; global supply chain management; marketplace globalization; multiperiod production planning; optimal discount contract; quantity discount analysis; total cost minimization; uncertain demands; Contracts; Linear programming; Numerical models; Planning; Production planning; Supply chains; Stackelberg equilibrium; bilevel programming problem; multi-period; quantity discounts;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/IEEM.2014.7058765
  • Filename
    7058765