An intelligent supplier relationship management system for selecting and benchmarking suppliers

King Lun Tommy Choy, Wing Bun Lee, Victor Lo

Research output: Journal article publicationReview articleAcademic researchpeer-review

23 Citations (Scopus)

Abstract

In today's accelerating world economy, the drive to cut costs continually 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 has become more critical than ever in achieving competitive advantage. 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 supplier 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.
Original languageEnglish
Pages (from-to)717-742
Number of pages26
JournalInternational Journal of Technology Management
Volume26
Issue number7
DOIs
Publication statusPublished - 5 Sep 2003

Keywords

  • Artificial neural network
  • Case based reasoning
  • Selection and benchmarking
  • Supplier relationship
  • Supply network

ASJC Scopus subject areas

  • Industrial relations
  • Engineering(all)
  • Computer Science Applications
  • Strategy and Management
  • Law

Cite this