A novel maintenance policy for multi-component systems under imperfect maintenance

Purpose This paper aims to develop a novel dynamic inspection and imperfect maintenance policy for a multi-component system considering dynamic importance. The system consists of a critical component and an auxiliary component, focusing on the dependency of the critical component and the auxiliary component. Design/methodology/approach When the degradation level of the auxiliary component exceeds a certain threshold, the importance of the auxiliary component will increase. Non-periodic inspections are conducted on the components, followed by the implementation of imperfect maintenance actions depending on the inspection conditions. Findings By minimizing the long-run average cost of the system, the optimal preventive maintenance threshold for both components can be derived. Numerical and comparative experiments are applied to verify the effectiveness and superiority of the proposed model. Originality/value A novel imperfect maintenance policy for a multi-component system is proposed. The Monte Carlo simulation algorithm is utilized to manage the intricate relationships between maintenance strategies and the degradation of a boring tool with damping.

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Publication Details

Journal
Journal of Quality in Maintenance Engineering
Published
2025-09-04
DOI
https://doi.org/10.1108/jqme-02-2025-0011
Citations
1
Primary Topic
Reliability and Maintenance Optimization
Type
article
Field-Weighted Citation Impact
1.30

Funders

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article

A novel maintenance policy for multi-component systems under imperfect maintenance

Shaoqing Xiang, Aojun Chen, Faqun Qi, Chengjie Zhang et al.
1 citations
Journal of Quality in Maintenance Engineering
Reliability and Maintenance Optimization
1.30
article

A novel maintenance policy for multi-component systems under imperfect maintenance

Shaoqing Xiang, Aojun Chen, Faqun Qi, Chengjie Zhang, Pei Li, Jiaxin Qi
article en
1 citations

Abstract

Purpose This paper aims to develop a novel dynamic inspection and imperfect maintenance policy for a multi-component system considering dynamic importance. The system consists of a critical component and an auxiliary component, focusing on the dependency of the critical component and the auxiliary component. Design/methodology/approach When the degradation level of the auxiliary component exceeds a certain threshold, the importance of the auxiliary component will increase. Non-periodic inspections are conducted on the components, followed by the implementation of imperfect maintenance actions depending on the inspection conditions. Findings By minimizing the long-run average cost of the system, the optimal preventive maintenance threshold for both components can be derived. Numerical and comparative experiments are applied to verify the effectiveness and superiority of the proposed model. Originality/value A novel imperfect maintenance policy for a multi-component system is proposed. The Monte Carlo simulation algorithm is utilized to manage the intricate relationships between maintenance strategies and the degradation of a boring tool with damping.

Journal of Quality in Maintenance EngineeringVol. 31(4)
Wenzhou University (CN), Zhejiang Environmental Monitoring Center (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 17%
Reliability and Maintenance Optimization
1.30
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A novel maintenance policy for multi-component systems under imperfect maintenance — Shaoqing Xiang, Aojun Chen, et al. · Journal of Quality in Maintenance Engineering (2025) | TGRS Research Map | TGRS