Using case-based reasoning to evaluate supplier environmental management performance

Paul Humphreys, Ronan McIvor, Tung Sun Chan

Research output: Journal article publicationReview articleAcademic researchpeer-review

144 Citations (Scopus)

Abstract

This paper outlines the development of a knowledge-based system (KBS) which integrates environmental factors into the supplier selection process. The system employs both case-based reasoning (CBR) and decision support components including multi-attribute analysis (MAA). Traditionally, when evaluating supplier performance, companies have considered factors such as price, quality, flexibility etc. However, with environmental pressures increasing, many companies have begun to consider environmental issues and the measurement of their suppliers' environmental performance. The framework presented in this paper was developed from an analysis of environmental management practices in a number of companies along with a thorough literature survey. The paper then outlines how the most important parts of the framework were computerised using KBS techniques. An evaluation of the system implemented in a multinational company is presented along with proposals for future system enhancements.
Original languageEnglish
Pages (from-to)141-153
Number of pages13
JournalExpert Systems with Applications
Volume25
Issue number2
DOIs
Publication statusPublished - 1 Aug 2003
Externally publishedYes

Keywords

  • Case-based reasoning
  • Environmental management
  • Knowledge-based system
  • Supplier selection

ASJC Scopus subject areas

  • Engineering(all)
  • Computer Science Applications
  • Artificial Intelligence

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