Decision-making regarding the best maintenance strategy for electrical equipment of buildings based on fuzzy analytic hierarchy process; case study: elevator
Journal of Quality in Maintenance Engineering
ISSN: 1355-2511
Article publication date: 5 July 2021
Issue publication date: 28 June 2022
Abstract
Purpose
The purpose of this paper is to propose the best method of maintenance for electrical equipment of a building and especially elevators in order to achieve various benefits.
Design/methodology/approach
Literature review shows that there are various methods such as corrective maintenance, condition-based maintenance, time-based maintenance and reliability-centered maintenance (RCM) for the maintenance of electrical equipment of a building. Selecting the most appropriate maintenance method, especially in large buildings such as commercial ones, is a multiple-criteria decision-making problem. To solve this problem, the fuzzy analytic hierarchy process is used in the present study. It considers the uncertainties of the experts' judgments to provide an optimized maintenance method.
Findings
Theoretically, the RCM method will take a lot of time and cost. But in prioritizing the methods, RCM gained more points with regard to safety criteria and value added. The main finding of this study suggests that RCM can be used in the case of elevators and would improve the safety and reliability of buildings.
Originality/value
The authors believe that this study will be valuable because one of the problems in building maintenance complexes is the lack of knowledge about the best method to prevent the risks of elevators. The proposed method has compared with other methods in various sub-criteria, and the results have been fully analyzed.
Keywords
Acknowledgements
The authors would like to appreciate the delicate comments of the anonymous reviewer that helped to enrich the paper.
Citation
Gholami, J., Razavi, A. and Ghaffarpour, R. (2022), "Decision-making regarding the best maintenance strategy for electrical equipment of buildings based on fuzzy analytic hierarchy process; case study: elevator", Journal of Quality in Maintenance Engineering, Vol. 28 No. 3, pp. 653-668. https://doi.org/10.1108/JQME-03-2020-0015
Publisher
:Emerald Publishing Limited
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