• DocumentCode
    3478543
  • Title

    Research on customer order decoupling point positioning model for supply chain cost optimization

  • Author

    Ge, JiangHua ; Wei, Fen ; Huang, Yongtao ; Gao, Guoan

  • Author_Institution
    Mech. Electron Eng. Coll., Harbin Univ. of Sci. & Technol., Harbin, China
  • fYear
    2009
  • fDate
    5-7 Aug. 2009
  • Firstpage
    1083
  • Lastpage
    1088
  • Abstract
    In order to solve the problem of determining the optimal customizing point under customers requirement of customizing different kinds of product, with the supply chain covering product life cycle as research object, according to different positions from which the customizing action begins, three types of supply chain when customer order decoupling point (CODP) positioning at manufacturing, assembly and delivery were analysed. On this basis, aiming at minimizing the total cost of product operation supply chain, constrained by delivery lead time, product value-adding ability, productivity and logistics ability, three types of CODP positioning mathematical model were separately set up. Three models were simulating by MATLAB combining with case data, the optimal customizing point of every supply chain model was determined, thus realize customizing production of different kinds of product´s total cost minimizing.
  • Keywords
    costing; mathematics computing; product life cycle management; supply chains; MATLAB; cost optimization; customer order decoupling point positioning; product life cycle; supply chain; Assembly; Cost function; Logistics; Manufacturing automation; Mathematical model; Packaging; Production; Productivity; Supply chains; Virtual manufacturing; Customer order decoupling point; Product life cycle; Supply chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2009. ICAL '09. IEEE International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-4794-7
  • Electronic_ISBN
    978-1-4244-4795-4
  • Type

    conf

  • DOI
    10.1109/ICAL.2009.5262581
  • Filename
    5262581