Choy, K. L. , Lee, W. B., Lau, Henry, Lu, Dawei and Lo, Victor. (2004) Design of an intelligent supplier relationship management system for new product development. International Journal of Computer Integrated Manufacturing , Vol. 17 (No. 8). pp. 692-715. ISSN 0951-192X

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Abstract

Since the 1990s, the business environment has changed greatly because of global integration and the lifecycles of products are becoming shorter. The drive to continually cut costs and focus on core competencies has driven many to outsource some or all of their production. It is found that the integration of customer relationship management (CRM) and supplier relationship management (SRM), to facilitate supply chain management in the areas of supplier selection using an artificial intelligence approach, has become a promising solution for manufacturers to identify appropriate suppliers and trading partners to form a supply network on which they depend for products, services and distribution. In this paper, an intelligent supplier relationship management system (ISRMS) using hybrid case based reasoning (CBR) and artificial neural networks (ANNs) techniques to select and benchmark potential suppliers is discussed. By using ISRMS in Honeywell Consumer Product ( Hong Kong) Limited, the outsource cycle time from searching for potential suppliers to the allocation of order during new product development is greatly reduced.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TS Manufactures H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions:	Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH):	Business logistics -- Computer programs, Customer relations -- Management, Delivery of goods -- Management
Journal or Publication Title:	International Journal of Computer Integrated Manufacturing
Publisher:	Taylor & Francis Ltd.
ISSN:	0951-192X
Date:	December 2004
Volume:	Vol. 17
Number:	No. 8
Number of Pages:	24
Page Range:	pp. 692-715
Identification Number:	10.1080/0951192042000237483
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
URI:	http://wrap.warwick.ac.uk/id/eprint/7830

Data sourced from Thomson Reuters' Web of Knowledge

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