• DocumentCode
    3002066
  • Title

    Multi-facility location model with timeliness constrains of logistics distribution centers

  • Author

    Yan-cheng, Gong

  • Author_Institution
    Dept. of Automobile Manage., Automobile Manage. Inst., Bengbu
  • fYear
    2008
  • fDate
    1-3 Sept. 2008
  • Firstpage
    2533
  • Lastpage
    2536
  • Abstract
    This paper is aimed to solve the multi-facility location problems of distribution centers by multi-objective decision method. After analyzing the requirements and characteristics of distribution time, it put forward a multi-facility location model in which the distribution cost was taken as decision objective and the distribution time was changed to a group of constrains. It designed a bi-step heuristics to solve the model based on conventional iterative algorithms of center-of-gravity approach and MATLAB optimization function. The study indicates that it generally only increases limited costs when the distribution time is considered in solving the location problems, and the bi-step heuristics is effective to deal with the multi-facility location problems with timeliness constrains.
  • Keywords
    decision theory; distribution strategy; facility location; iterative methods; logistics; optimisation; transportation; MATLAB optimization function; bistep heuristics; center-of-gravity approach; distribution time; iterative algorithm; logistics distribution center; multifacility location model; multiobjective decision method; timeliness constrain; transportation turnover; Algorithm design and analysis; Automation; Automobiles; Costs; Iterative algorithms; Logistics; MATLAB; Mathematical model; Time factors; Transportation; distribution center; location model; logistics; multi-facility location; timeliness constrains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-2502-0
  • Electronic_ISBN
    978-1-4244-2503-7
  • Type

    conf

  • DOI
    10.1109/ICAL.2008.4636595
  • Filename
    4636595