• DocumentCode
    2964661
  • Title

    Hybrid Genetic Algorithm for Inventory Management Based on Postponement Strategy and Bilevel Programming Model

  • Author

    Liu, Bingbing ; Wan, Zhongping

  • Author_Institution
    Sch. of Math. & Stat., Wuhan Univ., Wuhan, China
  • fYear
    2011
  • fDate
    12-14 Aug. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    An optimal inventory model with postponement strategy, that is a bilevel integer programming model, is considered. A hybrid genetic algorithm together with branch and bound algorithm is proposed to solve this model. The numerical simulation shows that the results obtained in this paper not only improve the inventory benefits of overall supply chain, and reasonably adjust the optimal inventory of branch points.
  • Keywords
    genetic algorithms; integer programming; inventory management; supply chain management; tree searching; bilevel integer programming model; branch and bound algorithm; hybrid genetic algorithm; inventory management; numerical simulation; optimal inventory model; postponement strategy; supply chain; Genetic algorithms; Linear programming; Mathematical model; Numerical models; Planning; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science (MASS), 2011 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-6579-8
  • Type

    conf

  • DOI
    10.1109/ICMSS.2011.5998250
  • Filename
    5998250
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2964661