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Title: Fuzzy assessment simulation for classifying production equipment in practice of total productive maintenance
Authors: Wilson Kosasih
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2016
Volume: 11
Issue: 8
Language: English
This paper describes how to develop a decision support system for classifying production equipment by considering a Multi Criteria Decision Making (MCDM) Method for Productivity, Quality, Cost, Delivery, Safety (PQCDS) indicators based on its condition. The study was conducted by using fuzzy assessment approach. The purposes of this study are: to define each criterion of each indicator; to determine fuzzification of value of each criterion; to design appropriate fuzzy rule base; and to develop a decision support system. The Categories of equipment were divided into 3 classes, such as: critical, mayor, minor. In this study, fuzzy rules were designed based on expert’s knowledge and experiences. Finally, the results were simulated and compared with conventional method.
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