• DocumentCode
    2466189
  • Title

    Optimization of Control Strategy of a Serial Supply Chain Based on Pheromone Evolutionary Algorithm

  • Author

    Huang, Min ; Ding, Jianqin ; Liu, Zhonghua ; Ip, W.H. ; Yung, K.L. ; Wang, Xingwei

  • Author_Institution
    Northeastern Univ., Shenyang
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    2707
  • Lastpage
    2712
  • Abstract
    Determination of optimal control strategy is one of the key factors for a successful supply chain management. This paper focuses on the research of an inventory control strategy of a serial supply chain. First, it proposes an optimization model of an inventory control that is based on the combination of a nonlinear integer programming model and a general push/pull control model. Then, the optimal control strategy is obtained by the combination of pheromone evolutionary algorithm and simulation analysis. Case studies demonstrated the effectiveness of the method.
  • Keywords
    evolutionary computation; integer programming; nonlinear programming; optimal control; stock control; supply chain management; inventory control strategy; nonlinear integer programming model; optimal control strategy; optimization; pheromone evolutionary algorithm; push/pull control model; supply chain management; Control system synthesis; Control systems; Costs; Evolutionary computation; Inventory control; Linear programming; Optimal control; Production systems; Supply chain management; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2006. CEC 2006. IEEE Congress on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9487-9
  • Type

    conf

  • DOI
    10.1109/CEC.2006.1688647
  • Filename
    1688647