• DocumentCode
    2139287
  • Title

    An Improved Method for Integrated Planning Model of Supply Chain

  • Author

    Zhu, Bao-Lin ; Yu, Hai-Bin ; Huang, Xiao-Yuan

  • Author_Institution
    Sch. of Bus. Adm., Northeast Univ., Shenyang, China
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Lagrangian relaxation technology is used to optimize the integrated planning model for supply chain, which is established by the factors such as price, inventory etc. To reduce the duality gap of lagrangian relaxation, an improved method with lagrangian relaxation and genetic algorithm is applied in the model. The number results prove the effectiveness of the model and algorithm.
  • Keywords
    planning; supply chain management; Lagrangian relaxation technology; genetic algorithm; integrated planning model; supply chain; Mathematical model; Numerical models; Planning; Production planning; Supply chain management; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science (MASS), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5325-2
  • Electronic_ISBN
    978-1-4244-5326-9
  • Type

    conf

  • DOI
    10.1109/ICMSS.2010.5575790
  • Filename
    5575790
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2139287