Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/7898
Title: A knowledge-based supplier intelligence retrieval system for outsource manufacturing
Authors: Choy, KL 
Lee, WB 
Lau, HCW
Choy, LC
Keywords: Case-based reasoning
Categorization
Inductive
Information retrieval
Nearest neighbor indexing
Selection and performance measurement
Supplier intelligence
Issue Date: 2005
Source: Knowledge-based systems, 2005, v. 18, no. 1, p. 1-17 How to cite?
Journal: Knowledge-Based Systems 
Abstract: Knowledge management is to promote business success through a formal, structured initiative to improve the use of knowledge in an organization, in which an effective organizational memory information system plays an increasingly important role. Unlike the past, the performance of an enterprise now depends much on the performance and relationship of its customer-suppliers in the value chain. Good customer-supplier relationships are important for an organization to respond to dynamic and unpredictable changes. This paper describes a knowledge-based supplier selection and evaluation system, which is a case-based reasoning decision support system for outsourcing operations at Honeywell Consumer Products (Hong Kong) Limited in China. As a result, collaborative suppliers are identified quickly during the new product development process. By using the system, the cumulative performance of suppliers is constantly updated automatically according to past practice. This means that the knowledge of suppliers can be retained, categorized, retrieved and managed effectively.
URI: http://hdl.handle.net/10397/7898
ISSN: 0950-7051
DOI: 10.1016/j.knosys.2004.05.003
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