Combining scoring method and fuzzy expert systems approach to supplier assessment: A case study

Chun Kit Kwong, W. H. Ip, J. W.K. Chan

Research output: Journal article publicationJournal articleAcademic researchpeer-review

94 Citations (Scopus)

Abstract

Very often, manufacturing companies have been faced with the problem of assessment and selection of suppliers for their product development. Some methods and techniques have been developed to assist these companies in performing the assessment. However, these methods and techniques lack tge capability to deal with the instrumental and conceptual uncertainties that are involved in the supplier assessment and selection. Fuzzy expert system is an alternative approach from which the heuristics and knowledge of supplier assessment can be captured and the impreciseness and uncertainties due to the human subjectivity, that are common in the process of the supplier assessment, can be handled. In this paper, a combined scoring method with fuzzy expert systems approach is introduced to perform the supplier assessment. With the use of the fuzzy concept, the error due to human judgement in the scoring method could be minimized. First, current methods and techniques of supplier assessment are reviewed in this paper. There follows the description of a case study of combined scoring method and fuzzy expert systems approach to supplier assessment. Some results of the prototype system trial-run are discussed in the final part of this paper.
Original languageEnglish
Pages (from-to)512-519
Number of pages8
JournalIntegrated Manufacturing Systems
Volume13
Issue number7
DOIs
Publication statusPublished - 1 Jan 2002

Keywords

  • Assessment
  • Fuzzy systems
  • Suppliers

ASJC Scopus subject areas

  • Software
  • Industrial and Manufacturing Engineering

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