Abstract
Technologies for effectively transferring knowledge and information for streamlining procurement operations are becoming increasingly important for firms in order to effectively compete in global markets. Companies are utilizing a variety of e-procurement technologies such as e-sourcing, e-auctions, and electronic data interchange (EDI) to transact with their suppliers. E-auctions are considered as a tool for exchanging knowledge and information in a dynamic manner between buyers and suppliers resulting in efficient transactions at lower costs. The complexities associated in processing and exchanging information in an e-auction setting demand to use of advanced decision support systems (DSS). To this end, this paper focuses on developing a DSS tool for managing an e-reverse auction system that assists buyers in processing multi-dimensional information from suppliers in determining winners. Specifically, the DSS utilizes a combination of data envelopment analysis with buyer-specified inexact attribute preference information and integer programming for winner determination in a multi-sourcing, multi-attribute e-reverse auction. Through illustrative examples we discuss the application of these models in a variety of auction formats.
Published Version
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