A survey of the application of fuzzy set theory in production and operations management : 1998-2009

Bo K. WONG, Vincent S. LAI

Research output: Journal PublicationsJournal Article (refereed)Researchpeer-review

97 Citations (Scopus)

Abstract

The objectives of this research are to identify the research trends in and publication outlets for the applications of the fuzzy set theory technique in production and operations management (POM). The major findings indicate that (1) the most popular applications are capacity planning, scheduling, inventory control, and product design, (2) some application areas make more use of particular types of fuzzy techniques, (3) the percentage of applications that address semi/unstructured types of POM problems is increasing, (4) the most common technologies integrated with the fuzzy set theory technique are genetic/evolutionary algorithms and neural networks, and (5) the most popular development tool is C Language and its extension. Our survey confirms several research trends, some of which are unexpected and some of which contradict previous findings.
Original languageEnglish
Pages (from-to)157-168
Number of pages12
JournalInternational Journal of Production Economics
Volume129
Issue number1
DOIs
Publication statusPublished - 1 Jan 2011

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Fuzzy set theory
Inventory control
Product design
Evolutionary algorithms
Genetic algorithms
Scheduling
Neural networks
Planning
Production and operations management
Research trends

Keywords

  • Fuzzy set theory
  • Production and operations management
  • Research
  • Review

Cite this

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A survey of the application of fuzzy set theory in production and operations management : 1998-2009. / WONG, Bo K.; LAI, Vincent S.

In: International Journal of Production Economics, Vol. 129, No. 1, 01.01.2011, p. 157-168.

Research output: Journal PublicationsJournal Article (refereed)Researchpeer-review

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