• DocumentCode
    2650823
  • Title

    Optimization Model Analysis on Supply Chain Resources Integration Decision in 4PL

  • Author

    Jian-ming, YAO ; Li-wen, LIU

  • Author_Institution
    Tsinghua Univ., Beijing
  • fYear
    2007
  • fDate
    20-22 Aug. 2007
  • Firstpage
    614
  • Lastpage
    619
  • Abstract
    Integrating the supply chain resources is an important way to promote the utilization efficiency of the enterprises´ various resources and the enterprises´ operational effect and profits. But considering the complexity of the resources, the integrating process is difficult. At present, the successful operation of the fourth party logistics (4PL) in practice has gradually demonstrated that it is an effective mode to integrate the supply chain´s complicated resources relationally, efficiently and flexibly. To thoroughly analyze the integration problem of the supply chain in 4PL mode from the quantity view, the integration decision method is put forward based on the dominant factors judgment and analysis. Then a mathematics model of integration decision optimization is advanced and the reasonability and feasibility of the integrating decision method are briefly described in this paper. Finally, the related conclusions of this research are given.
  • Keywords
    supply chain management; 4PL; dominant factors judgment; enterprises operational effect; fourth party logistics; integration decision method; optimization model analysis; profits; supply chain resources integration decision; Conference management; Costs; Engineering management; Logistics; Mathematical model; Mathematics; Optimization methods; Resource management; Supply chain management; Supply chains; 4PL; decision; dominant factors; optimization model; supply chain resources integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering, 2007. ICMSE 2007. International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-7-88358-080-5
  • Electronic_ISBN
    978-7-88358-080-5
  • Type

    conf

  • DOI
    10.1109/ICMSE.2007.4421913
  • Filename
    4421913