Fuzzy-Grey Relational Analysis Applied to Optimal Maintenance Strategy Selection: The Case of Egbin Thermal Power Station, Nigeria
Authors: Emovon I, Oreko BU
DOI Info: http://doi.org/10.5281/zenodo.5047825
One way to reduce maintenance cost and maximize system safety and reliability is to implement the most appropriate maintenance strategy for the system. There are different maintenance strategies and the task of choosing the optimal strategy is cumbersome due to numerous decision criteria associated with decision making. The purpose of this paper is to develop a model for the selection of a mix of maintenance strategies for a complex industrial system. The fuzzy-GRA method is proposed which combine the fuzzy set theory (FST) with the Grey relational analysis (GRA). The application of the proposed model was demonstrated with a case of a critical equipment of Egbin thermal power station in Nigeria. Four maintenance strategies: corrective maintenance (CM), preventive maintenance (PM), total productive maintenance (TPM), and condition-based maintenance (CBM) were evaluated based on four decision criteria. From the fuzzy-GRA analysis, TPM was ascertained to be the best approach for maintaining the equipment. The fuzzy-GRA method generated entirely same result when compared with the fuzzy-VIKOR techniques.
Affiliations: Department of Mechanical Engineering, College of Engineering and Technology, Federal University of Petroleum Resources, PMB 1221, Effurun, Delta State, Nigeria.
Keywords: Fuzzy-GRA, Maintenance Strategies, Decision Criteria, Egbin Thermal Power Station, MCDM
Published date: 2021/06/30