• DocumentCode
    3102794
  • Title

    Simulation of Supply Chain Network Based on Discrete-continuous Combined Modeling

  • Author

    Wang Wen-li ; Xue Yao-wen

  • Author_Institution
    Sino-US Global Logistics Inst., Shanghai Jiaotong Univ., Shanghai, China
  • fYear
    2010
  • fDate
    26-28 Sept. 2010
  • Firstpage
    699
  • Lastpage
    702
  • Abstract
    At most time, supply chain is a hybrid dynamic system composed of continuous material flow, discrete information flow and their interaction. Traditional method of modeling and simulation of supply chain looking supply chain as discrete event system can´t reflect systemic dynamic complexity. In this paper, two kinds of order decision-making simulation model of supply chain, discrete model and discrete-continuous hybrid model are built with system dynamics and discrete state chart using the software AnyLogic. Inventory levels of manufacturer and distributor under traditional inventory strategy and VMI strategy are studied. Simulation results show that hybrid model describes bullwhip effect of supply chain different from discrete model, that is the bullwhip effect exhibiting higher inventory level of supply chain upstream enterprise in discrete-continuous combined modeling while exhibiting higher inventory fluctuation of supply chain upstream enterprise in discrete model and can simulates the process of system evolvement caused by adaptive agent´s evolutionary learning greatly.
  • Keywords
    continuous systems; discrete event systems; inventory management; learning (artificial intelligence); modelling; simulation; supply chains; AnyLogic software; VMI strategy; adaptive agent evolutionary learning; continuous material flow; decision-making simulation model; discrete event system; discrete information flow; discrete model; discrete state chart; discrete-continuous combined modeling; discrete-continuous hybrid model; hybrid dynamic system; inventory strategy; supply chain looking supply chain; supply chain network simulation; supply chain upstream enterprise; Adaptation model; Biological system modeling; Diffusion tensor imaging; Pipelines; Supply chains; Uncertainty; bullwhip effect; discrete-continuous combined modeling; simulation; supply chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Aspects of Social Networks (CASoN), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-8785-1
  • Type

    conf

  • DOI
    10.1109/CASoN.2010.160
  • Filename
    5636664