Fuzzy set theory applications in production management research: A literature survey

Alfred L. Guiffrida, Rakesh Nagi

Research output: Contribution to journalReview article

Abstract

Fuzzy set theory has been used to model systems that are hard to define precisely. As a methodology, fuzzy set theory incorporates imprecision and subjectivity into the model formulation and solution process. Fuzzy set theory represents an attractive tool to aid research in production management when the dynamics of the production environment limit the specification of model objectives, constraints and the precise measurement of model parameters. This paper provides a survey of the application of fuzzy set theory in production management research. The literature review that we compiled consists of 73 journal articles and nine books. A classification scheme for fuzzy applications in production management research is defined. We also identify selected bibliographies on fuzzy sets and applications.

Original languageEnglish (US)
Pages (from-to)39-56
Number of pages18
JournalJournal of Intelligent Manufacturing
Volume9
Issue number1
DOIs
StatePublished - Jan 1 1998
Externally publishedYes

Keywords

  • Fuzzy mathematics
  • Fuzzy set theory
  • Production management

ASJC Scopus subject areas

  • Software
  • Industrial and Manufacturing Engineering
  • Artificial Intelligence

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