• DocumentCode
    3502343
  • Title

    Coordination and Optimization of Distribution System Under Correlated Uncertain Demand

  • Author

    Zhao, Na ; Sun, Guang-qi

  • Author_Institution
    Transp. & Logistic Coll., Dalian Maritime Univ., Dalian
  • fYear
    2007
  • fDate
    21-25 Sept. 2007
  • Firstpage
    3740
  • Lastpage
    3743
  • Abstract
    In this paper, the coordination and optimization of a distribution system, consisting of one manufacturer and multiple retailers, is researched. Both the uncertainty and the correlation of the market demand are fully considered, according to the observation and analysis of an actual distribution system. Correlated random number is introduced into Monte Carlo method to simulate the correlated uncertain demand so as to offer the system more real sample data. A simple, effective approach is proposed to solve the model. The coordination mechanism is also given for cooperative pricing. The numerical experiment shows that the wholesale price and order quantities are optimized by our approach. In addition, the important parameters´ influence on the wholesale price is also analyzed in the work.
  • Keywords
    Monte Carlo methods; retailing; wholesale data processing; Monte Carlo method; coordination mechanism; correlated random number; correlated uncertain demand; distribution system; distribution system optimization; market demands; wholesale price; Cost function; Educational institutions; Logistics; Marketing and sales; Pulp manufacturing; Stochastic processes; Sun; Transportation; Uncertainty; Virtual manufacturing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-1311-9
  • Type

    conf

  • DOI
    10.1109/WICOM.2007.925
  • Filename
    4340700