Evaluation of Maintenance Strategies Using Pythagorean Fuzzy TOPSIS Method

Abstract

Maintenance strategy selection (MSS) is a key issue that is followed worldwide and contributes significantly to the performance and productivity of manufacturing companies. Proper maintenance planning increases the reliability, efficiency, and profitability of enterprises. In today’s conditions where competition is getting more severe, maintenance planning activities have an important share in operating costs. Therefore, it is important to correctly identify and implement appropriate maintenance management planning to survive. In this study, it is aimed to select the most appropriate maintenance strategy (MS) utilizing the Pythagorean fuzzy TOPSIS (PF-TOPSIS) method for a food company in Turkey. Five main criteria (safety, cost, reliability, feasibility, and added-value), twenty sub-criteria, and six alternative maintenance strategies (corrective maintenance (CM), time-based preventive maintenance (TBPM), opportunistic maintenance (OM), condition-based maintenance (CBM), predictive maintenance (PdM), and reliability-centered maintenance (RCM)) were identified in order to choose the most appropriate MS. The best MS has been determined after the implementation of the PF-TOPSIS methodology, and alternatives are ranked according to PF-TOPSIS results.