Design of an intelligent supplier relationship management system for new product development

King Lun Tommy Choy, Wing Bun Lee, Henry C.W. Lau, Dawei Lu, Victor Lo

Research output: Journal article publicationJournal articleAcademic researchpeer-review

45 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)692-715
Number of pages24
JournalInternational Journal of Computer Integrated Manufacturing
Volume17
Issue number8
DOIs
Publication statusPublished - 1 Dec 2004

ASJC Scopus subject areas

  • Aerospace Engineering
  • Mechanical Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this