• DocumentCode
    536394
  • Title

    Using fuzzy optimization model and hybrid intelligent algorithm to solve buyback problem

  • Author

    Wang, Junyan

  • Author_Institution
    Coll. of Package & Printing Eng., Tianjin Univ. of Sci. & Technol., Tianjin, China
  • Volume
    1
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    649
  • Lastpage
    652
  • Abstract
    A buyback policy is offered buy the supplier to the downstream retailers in a supply chain. The market demand is characterized as a fuzzy variable due to its uncertainty based on credibility theory. Then it proposes a fuzzy expected value buyback problem programming model. In the end, a fuzzy hybrid intelligent algorithm is designed to solve the model proposed.
  • Keywords
    fuzzy set theory; marketing; optimisation; supply chains; buyback policy; buyback problem; buyback problem programming model; credibility theory; downstream retailers; fuzzy optimization model; fuzzy variable; hybrid intelligent algorithm; market demand; supply chain; buyback problem; fuzzy variable; hybrid intelligent algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6582-8
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2010.5658830
  • Filename
    5658830
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=536394