Fuzzy logic in manufacturing: A review of literature and a specialized application

Arash Azadegan, Lejla Porobic, Sepehr Ghazinoory, Parvaneh Samouei, Amir Saman Kheirkhah

Research output: Contribution to journalArticlepeer-review

107 Scopus citations

Abstract

Manufacturing decisions inherently face uncertainties and imprecision. Fuzzy logic, and tools based on fuzzy logic, allow for the inclusion of uncertainties and imperfect information in decision making models, making them well suited for manufacturing decisions. In this study, we first review the progression in the use of fuzzy tools in tackling different manufacturing issues during the past two decades. We then apply fuzzy linear programming to a less emphasized, but important issue in manufacturing, namely that of product mix prioritization. The proposed algorithm, based on linear programming with fuzzy constraints and integer variables, provides several advantages to existing algorithm as it carries increased ease in understanding, in use, and provides flexibility in its application.

Original languageEnglish (US)
Pages (from-to)258-270
Number of pages13
JournalInternational Journal of Production Economics
Volume132
Issue number2
DOIs
StatePublished - Aug 2011
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Business, Management and Accounting(all)
  • Economics and Econometrics
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering

Keywords

  • Fuzzy logic
  • Literature review
  • Product mix prioritization

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