• DocumentCode
    3002299
  • Title

    New decision support method of bid evaluation based on facts-set regression

  • Author

    Liang He ; Darong Ling ; Zhiyun Duan ; Qinghua Wang

  • Author_Institution
    Dept. of Public Procurement & Logistics, Wuhan Inst. of Econ., Wuhan
  • fYear
    2008
  • fDate
    1-3 Sept. 2008
  • Firstpage
    2586
  • Lastpage
    2589
  • Abstract
    Customarily modern procurement adopts a multi-purpose procurement way, so the bid evaluation and contractor selection will be a great problem. The purpose of this paper is to provide a new method to resolve the problem by using regression analysis based on facts-set. This method can evaluation all bids with some cheap computer software. By proving the scientificity of this new method, the author thinks that it can avoid the defects of the past evaluation methods efficiently. In virtue of the regression analysis to carry on the bid evaluation, this paper puts forward three kinds of different concrete ways: comparison of the residuals, using equivalent-benefit curve, setting up indexes-related evaluation system. The method can be used separately to trade off two or several factors, and can handle indexes whatever linear correlation or nonlinear correlation. This method also can be combined with other method in the procession of bid evaluation.
  • Keywords
    correlation methods; decision support systems; procurement; purchasing; regression analysis; bid evaluation; computer software; contractor selection; decision support method; equivalent-benefit curve; facts-set regression; indexes-related evaluation system; multipurpose procurement; regression analysis; Arithmetic; Automation; Concrete; Costs; Forward contracts; Helium; Logistics; Procurement; Regression analysis; Software; Bid evaluation; Decision support; Regression analysis; facts-set; procurement;
  • 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.2008.4636607
  • Filename
    4636607