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

Content Provider	IEEE Xplore Digital Library
Author	Liang He Darong Ling Zhiyun Duan Qinghua Wang
Copyright Year	2008
Description	Author affiliation: Dept. of Public Procurement & Logistics, Wuhan Inst. of Econ., Wuhan (Liang He; Darong Ling; Zhiyun Duan; Qinghua Wang)
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.
Starting Page	2586
Ending Page	2589
File Size	135819
Page Count	4
File Format	PDF
ISBN	9781424425020
DOI	10.1109/ICAL.2008.4636607
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Procurement facts-set procurement Software Regression analysis Indexes Mathematical model Bid evaluation Equations Gain Decision support
Content Type	Text
Resource Type	Article

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