• DocumentCode
    532539
  • Title

    Study on an improved genetic algorithm for facility location problem in forward and reverse logistics

  • Author

    Lijuan, Lu ; Haisheng, Li

  • Author_Institution
    Fac. of Sci., Liaoning Univ. of Sci. & Technol., Anshan, China
  • Volume
    6
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    A complete supply chain, from a cycle point of view taking into account the integrity of the logistics cycle, should include the forward and reverse logistics. Therefore, taking into account both original forward logistics system and the reverse logistics, in this paper the one-way logistics will be transformed into two-way logistics under the premise of the most savings capital, and the logistics center (Distribution Center; Recycling Center) location problem model is be established. An improved genetic algorithm is put forward, and makes it solving the model. Because considering a number of environmental factors, the model makes itself more convenient for practical application.
  • Keywords
    facility location; genetic algorithms; reverse logistics; distribution center; facility location problem; forward logistics system; improved genetic algorithm; logistics center location problem model; recycling center; reverse logistics system; Genetics; Distribution Center; Improved Genetic Algorithm; Location Problem; Recycling Center; Reverse Logistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5620705
  • Filename
    5620705