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On preventive maintenance policies: a selection framework

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)

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. (Contact us about this Publication)
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
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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