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Fuzzy logic in manufacturing: A review of literature and a specialized application |
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| Authors: | Arash Azadegan Lejla PorobicSepehr Ghazinoory Parvaneh SamoueiAmir Saman Kheirkhah |
| Affiliation: | a Management Department, New Mexico State University, Las Cruces, NM, USA b Industrial Engineering Department, New Mexico State University, Las Cruces, NM, USA c Department of Information Technology Management, Tarbiat Modares University, Tehran, Iran d Department of Industrial Engineering, Qazvin Islamic Azad University, Hamedan, Iran e Department of Industrial Engineering, Bu-Ali Sina University, Hamedan, Iran |
| 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 |
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