Selection of Optimum Maintenance Strategy Using Multi-criteria Decision Making Approaches

Abstract

An appropriate maintenance strategy can improve the availability and reliability levels of industries, while improper maintenance strategy can significantly reduce the effectiveness of companies. This paper aims to select the optimal maintenance strategy utilizing four decision-making techniques in a food company in Turkey. In this study, four multi-criteria decision making (MCDM) methods (Analytic Hierarchy Process (AHP), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Simple Additive Weighting (SAW) and Weighted Product (WP)) are used to determine the optimal maintenance strategy. In this context, four main criteria (safety, cost, reliability, and added-value), twelve criteria and five alternatives (corrective maintenance, time-based preventive maintenance, opportunistic maintenance, condition-based maintenance, and predictive maintenance) are defined according to focus group meetings in the company and the literature review. The obtained results are compared with each other, and then the appropriate maintenance strategies are identified.