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

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

International Journal of Production Economics, 2011, vol. 132, issue 2, 258-270

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.

Keywords: Fuzzy; logic; Literature; review; Product; mix; prioritization (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (18)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:132:y:2011:i:2:p:258-270

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