• DocumentCode
    2502038
  • Title

    Research on methods-fusion decision technology of the key-client evaluation for urban logistics company

  • Author

    Dong, Hongzhao ; Yang, Fengyu ; Guo, Mingfei

  • Author_Institution
    MOE Key Lab. of Mech. Manuf. & Autom., Zhejiang Univ. of Technol., Hangzhou
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    9120
  • Lastpage
    9125
  • Abstract
    Commonly the current 3rd party urban logistics companies lack of mature historical data and a proper decision method to evaluate the key client in China. An individual decision method appears a certain shortage correspondingly. To solve the issue, a novel method, methods-fusion style decision technology based on D-S evidence theory is proposed to evaluate the key client of those companies. A practical comprehensive decision support system was developed by the fusion of several methods including statistic, forecasting and clustering. Eventually, the experiment demonstrated that the methods-fusion style decision technology could adapt to the current 3rd logistics company and shows to be more robust and accurate than just a single decision method.
  • Keywords
    decision support systems; decision theory; inference mechanisms; logistics; 3rd party urban logistics company; D-S evidence theory; decision support system; key-client evaluation; methods-fusion decision technology; Decision support systems; Industrial economics; Intelligent control; Intelligent manufacturing systems; Investments; Laboratories; Logistics; Manufacturing automation; Robustness; Statistics; D-S evidence theory; Methods-fusion style decision; key client; the 3rd party logistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4594372
  • Filename
    4594372