Determining winner in multi-attribute procurement auction: A method based on technical and business experts' evaluation information
Guang-Xin Gao, Zhi‐Ping Fan, Liu Yang
Abstract
Guang-Xin Gao, Zhi‐Ping Fan, Liu Yang
Abstract
A method for solving the winner determination problem (WDP) in multi-attribute procurement auctions is proposed, based on technical and business experts' evaluation information. Firstly, on the background of procurements in China, a multi-attribute procurement auction mechanism is presented, where technical and business experts participate in the bid evaluation. Then, the concept of TOPSIS is used to determine the positive and negative ideal points of the WDP according to bid prices, the technical and business experts' evaluation information. Further, the closeness coefficient of each bidder (candidate supplier) is obtained by calculating the distances to the positive and negative ideal points. Thus, the winning supplier can be determined according to the closeness coefficients. Finally, a numerical example is used to illustrate the use of the proposed method.
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A method for solving the winner determination problem (WDP) in multi-attribute procurement auctions is proposed, based on technical and business experts' evaluation information. Firstly, on the background of procurements in China, a multi-attribute procurement auction mechanism is presented, where technical and business experts participate in the bid evaluation. Then, the concept of TOPSIS is used to determine the positive and negative ideal points of the WDP according to bid prices, the technical and business experts' evaluation information. Further, the closeness coefficient of each bidder (candidate supplier) is obtained by calculating the distances to the positive and negative ideal points. Thus, the winning supplier can be determined according to the closeness coefficients. Finally, a numerical example is used to illustrate the use of the proposed method.
Key concepts: Procurement, Computer science, Reverse auction, Operations research, Business, Marketing, Engineering, Bidding