• DocumentCode
    3364357
  • Title

    Generalized Operator Model in VMI and TPL Integrated Mode

  • Author

    Wu Jianbo ; Liu Zhixue ; Yang Touping

  • Author_Institution
    Sch. of Manage., Huazhong Univ. of Sci. & Technol., Wuhan
  • fYear
    2008
  • fDate
    4-6 Nov. 2008
  • Firstpage
    109
  • Lastpage
    113
  • Abstract
    With the logistics outsourcing more widely used, a growing number of third-party logistics (TPL) were introduced to the VMI (Vendor-managed Inventory) implementation strategy, in this mode, how to effectively integrate the logistics and information flow in the supply chain has become an important research topic. Due to the complexity and a certain randomness of this mode, this paper uses the generalized operator model (GOM) method combined the large-scale system and intelligent control and analyses the information transmission flow in this mode. In accordance with the decomposition and synthesis approach to first establish the coarse-grained GOM and further decompose level by level, according to each decision-making point or the control link to further establish the finer-grained GOM, finally combining the inventory information sharing to construct multi-granularity GOM.
  • Keywords
    decision making; inventory management; outsourcing; service industries; supply chain management; supply chains; decision making; generalized operator model; information transmission flow; intelligent control; inventory information sharing; logistics outsourcing; supply chains; third-party logistics providers; vendor-managed inventory integrated mode; Control system analysis; Decision making; Information analysis; Intelligent control; Inventory management; Large-scale systems; Logistics; Risk management; Supply chain management; Supply chains; Generalized Operator Model; Large-scale System; TPL; VMI; Varied-Granularity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Risk Management & Engineering Management, 2008. ICRMEM '08. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-0-7695-3402-2
  • Type

    conf

  • DOI
    10.1109/ICRMEM.2008.11
  • Filename
    4673210