Author/Authors :
GÖRENER, Ali İstanbul Ticaret Üniversitesi - Uygulamalı Bilimler Fakültesi - Uluslararası Lojistik Bölümü, Turkey
Title Of Article :
MAINTENANCE STRATEGY SELECTION BY USING WSA AND TOPSIS METHODS UNDER FUZZY DECISION ENVIRONMENT
Abstract :
The determination of the most suitable maintenance strategies for facilities is an important multicriteria decision making problem. In this paper, fuzzy logic supported WSA (Weighted Sum Approach) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) methodologies are proposed to make a selection among the alternative maintenance strategies. Preventive, corrective, condition-based and predictive maintenance alternatives are evaluated for a manufacturing plant. The results show that preventive maintenance strategy is preferred for this facility. The main framework of the proposed approach can be performed to any plant for selecting maintenance strategy. But, every organization has different characteristics in terms of management approach, products and operations. For this reason, in the application, specific attributes of firm should be considered attentively by implementers or managers.
NaturalLanguageKeyword :
Maintenance strategies , decision making , fuzzy logic , WSA , TOPSIS
JournalTitle :
Sigma Journal Of Engineering and Natural Sciences
