Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/30032
Title: Design of an intelligent supplier relationship management system: A hybrid case based neural network approach
Authors: Choy, KL 
Lee, WB 
Lo, V
Keywords: Artificial neural network
Case based reasoning
Supplier relationship management
Supplier selection and benchmarking
Supply network
Issue Date: 2003
Publisher: Pergamon Press
Source: Expert systems with applications, 2003, v. 24, no. 2, p. 225-237 How to cite?
Journal: Expert systems with applications 
Abstract: In today's accelerating world economy, the drive to continually cut costs and focus on core competencies has driven many to outsource some or all of their production. In this environment, improving supply chain execution and leveraging the supply base through effective supplier relationship management (SRM) has become more critical than ever in achieving competitive advantage. It was found that the use of artificial intelligence in the outsourcing function of SRM to identify appropriate suppliers to form a supply network has become a promising solution on which manufacturers 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 is greatly reduced.
Description: In this special issue we present a selection of papers describing research and applications of intelligent systems from the Pacific Asian Conference on Intelligent Systems (PAIS) held on November 16–17, 2001, in Seoul, Korea.
URI: http://hdl.handle.net/10397/30032
ISSN: 0957-4174
EISSN: 1873-6793
DOI: 10.1016/S0957-4174(02)00151-3
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

96
Last Week
0
Last month
1
Citations as of Aug 21, 2017

WEB OF SCIENCETM
Citations

72
Last Week
1
Last month
1
Citations as of Aug 20, 2017

Page view(s)

54
Last Week
3
Last month
Checked on Aug 20, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.