A decision support system for supplier selection in B2B e-procurement

A decision support system for supplier selection in B2B e-procurement

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Article ID: iaor20051782
Country: South Korea
Volume: 21
Issue: 1
Start Page Number: 113
End Page Number: 129
Publication Date: May 2004
Journal: Korean Management Science Review
Authors: ,
Keywords: artificial intelligence: decision support, e-commerce, analytic hierarchy process
Abstract:

Nowadays many enterprises build e-procurement systems. An e-procurement is a Web-based procurement process and its functionalities are considered important in the B2B e-commerce. Buyers should select competent suppliers for a successful e-procurement. Therefore, this study proposes a method using the analytic hierarchy process (AHP) for building a Web-based supplier selection system. In detail, the purpose of this study is (1) to review methods previously used when buyers select suppliers and to extract important selection criteria: (2) to explain extended AHP method adopted by this study among supplier selection methods: (3) to describe the supplier selection steps using extended AHP: and (4) to propose a decision support system embedding the methodology described above. The proposed system comprises three phases: first phase is to evaluate suppliers on enterprise level: second phase to evaluate them on each transaction level: third phase to post-evaluate them.

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