A survey of the application of fuzzy set theory in production and operations management : 1998-2009
Document Type
Journal article
Source Publication
International Journal of Production Economics
Publication Date
1-1-2011
Volume
129
Issue
1
First Page
157
Last Page
168
Keywords
Fuzzy set theory, Production and operations management, Research, Review
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.
DOI
10.1016/j.ijpe.2010.09.013
Print ISSN
09255273
Publisher Statement
Copyright © 2010 Elsevier B.V. All rights reserved. Access to external full text or publisher's version may require subscription.
Full-text Version
Publisher’s Version
Language
English
Recommended Citation
Wong, B. K., & Lai, V. S. (2011). A survey of the application of fuzzy set theory in production and operations management : 1998-2009. International Journal of Production Economics, 129(1), 157-168. doi:10.1016/j.ijpe.2010.09.013