Alsyouf, Imad, Hamdan, s., Shamsuzzaman, Mohammad, Haridy, Salah, Alawaysheh, Iyad (2021) On preventive maintenance policies: a selection framework. Journal of Quality in Maintenance Engineering, 27 (1). pp. 225-252. ISSN 1355-2511. (doi:10.1108/JQME-10-2018-0085) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:91465)
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Official URL: https://doi.org/10.1108/JQME-10-2018-0085 |
Abstract
Purpose This paper develops a framework for selecting the most efficient and effective preventive maintenance policy using multiple-criteria decision making and multi-objective optimization. Design/methodology/approach The critical component is identified with a list of maintenance policies, and then its failure data are collected and the optimization objective functions are defined. Fuzzy AHP is used to prioritize each objective based on the experts' questionnaire. Weighted comprehensive criterion method is used to solve the multi-objective models for each policy. Finally, the effectiveness and efficiency are calculated to select the best maintenance policy. Findings For a fleet of buses in hot climate environment where coolant pump is identified as the most critical component, it was found that block-GAN policy is the most efficient and effective one with a 10.24% of cost saving and 0.34 expected number of failures per cycle compared to age policy and block-BAO policy. Research limitations/implications Only three maintenance policies are compared and studied. Other maintenance policies can also be considered in future. Practical implications The proposed methodology is implemented in UAE for selecting a maintenance scheme for a critical component in a fleet of buses. It can be validated later in other Gulf countries. Originality/value This research lays a solid foundation for selecting the most efficient and effective preventive maintenance policy for different applications and sectors using MCDM and multi-objective optimization to improve reliability and avoid economic loss.
Item Type: | Article |
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DOI/Identification number: | 10.1108/JQME-10-2018-0085 |
Uncontrolled keywords: | multi-objective optimization; maintenance planning; analytic hierarchy process; weighted comprehensive criterion method; multi-criteria decision making |
Subjects: | H Social Sciences |
Divisions: | Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems |
Depositing User: | Sadeque Hamdan |
Date Deposited: | 10 Nov 2021 11:31 UTC |
Last Modified: | 11 Nov 2021 11:40 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/91465 (The current URI for this page, for reference purposes) |
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