Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/16158
Title: An agent-oriented and knowledge-based system for strategic e-procurement
Authors: Cheung, CF 
Wang, WM
Lo, V
Lee, WB 
Keywords: Agent technology
Artificial intelligence
Case-based reasoning
Electronic business
Knowledge-based system
Strategic procurement
Supply chain
Issue Date: 2004
Publisher: Wiley-Blackwell
Source: Expert systems, 2004, v. 21, no. 1, p. 11-21 How to cite?
Journal: Expert systems 
Abstract: This paper presents an agent-oriented and knowledge-based system (AOKBS) for strategic e-procurement. The AOKBS has been designed to capture and leverage the knowledge of an enterprise to generate dynamic business rules by which an effective procurement strategy can be generated based on enterprise needs and the analysis of relevant market conditions. The performance and practices of the suppliers can also be evaluated and captured continuously, respectively, by the AOKBS. Artificial intelligence technologies such as case-based reasoning and agent technology are incorporated for decision analysis. A prototype e-procurement system has been built and implemented successfully with a multinational manufacturer.
URI: http://hdl.handle.net/10397/16158
ISSN: 0266-4720
EISSN: 1468-0394
DOI: 10.1111/j.1468-0394.2004.00259.x
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