Applying Concept of Rough Set Theory with Multi-Criteria Decision-Making Methods to Evaluate and Select the Most Appropriate Maintenance Strategy

The main purpose of this study is to evaluate different maintenance strategies for machinery and equipment. We attempt to select the most appropriate maintenance strategy for increasing availability and reliability levels of production facilities without a great increasing of investment. Since the nature of maintenance strategy selection is a multi-criteria problem, so decision makers to evaluation of criteria and alternatives using of uncertain preferences. Therefore, in this study we will use the concept of Rough set theory that are efficient in such circumstances. In fact, in this study first we will use confirmatory factor analysis to evaluating of research criteria and factors and then we will use the concept of Rough theory to convert preferences of decision makers to interval numbers and Multi-criteria decision-making methods (Rough AHP & Rough Topsis) for evaluating and ranking the maintenance strategies. It is noteworthy that in this paper, TOPSIS method with Rough data has been developed. finally, in order to demonstrate the applicability of the proposed method, we have used it in a case. The results show that using such model can help decision makers to make better decisions in the absence of full information.