Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28765
Title: Design and development of agent-based procurement system to enhance business intelligence
Authors: Lee, CKM
Lau, HCW
Ho, GTS
Ho, W
Keywords: Agent and data management system
Case based reasoning
OLAP
Price negotiation
Procurement data processing
Issue Date: 2009
Publisher: Pergamon Press
Source: Expert systems with applications, 2009, v. 36, no. 1, p. 877-884 How to cite?
Journal: Expert systems with applications 
Abstract: The purpose of this research is to propose a procurement system across other disciplines and retrieved information with relevant parties so as to have a better co-ordination between supply and demand sides. This paper demonstrates how to analyze the data with an agent-based procurement system (APS) to re-engineer and improve the existing procurement process. The intelligence agents take the responsibility of searching the potential suppliers, negotiation with the short-listed suppliers and evaluating the performance of suppliers based on the selection criteria with mathematical model. Manufacturing firms and trading companies spend more than half of their sales dollar in the purchase of raw material and components. Efficient data collection with high accuracy is one of the key success factors to generate quality procurement which is to purchasing right material at right quality from right suppliers. In general, the enterprises spend a significant amount of resources on data collection and storage, but too little on facilitating data analysis and sharing. To validate the feasibility of the approach, a case study on a manufacturing small and medium-sized enterprise (SME) has been conducted. APS supports the data and information analyzing technique to facilitate the decision making such that the agent can enhance the negotiation and suppler evaluation efficiency by saving time and cost.
URI: http://hdl.handle.net/10397/28765
ISSN: 0957-4174
EISSN: 1873-6793
DOI: 10.1016/j.eswa.2007.10.027
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