• DocumentCode
    483252
  • Title

    The Study of Partners´ Selection for Virtual Logistics Enterprises

  • Author

    Xue Dashen

  • Author_Institution
    Coll. of Transp. & Manage., Dalian Maritime Univ., Dalian
  • fYear
    2009
  • fDate
    23-25 Jan. 2009
  • Firstpage
    428
  • Lastpage
    431
  • Abstract
    With the continuous development of economic globalization and the furious competition of market, the need of logistics service is increasing continuously. At the same time, the requirement of its service level and quality is stricter. Virtual logistics enterprise (VLE) is becoming the realistic choice for many enterprises. VLE usually meet the partners´ selection problems before it is founded. How to choose appropriate partners is an important problem within the VLE. According to some former research results and the characteristic of the logistics enterprise, authors established an evaluating guide system for VLE based on the validity of partnerspsila combination. The authors also established a two-phase partners´ selection model: first selection based on analytic hierarchy process and second selection based on genetic simulated annealing algorithms. Finally, we give the results which shows the genetic simulated annealing algorithms are better than other algorithms and more suitable to these issues.
  • Keywords
    genetic algorithms; logistics; simulated annealing; virtual enterprises; analytic hierarchy process; economic globalization; genetic simulated annealing algorithms; market competition; two-phase partner selection model; virtual logistics enterprises; Algorithm design and analysis; Companies; Cost benefit analysis; Data analysis; Data encapsulation; Genetics; Globalization; Logistics; Marketing and sales; Simulated annealing; analytic hierarchy; genetic simulated annealing algorithms; virtual logistics enterprise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Discovery and Data Mining, 2009. WKDD 2009. Second International Workshop on
  • Conference_Location
    Moscow
  • Print_ISBN
    978-0-7695-3543-2
  • Type

    conf

  • DOI
    10.1109/WKDD.2009.102
  • Filename
    4771966