Joint sequential decision of maintenance and spare parts inventory for multi-unit repairable systems

Joint decision-making for preventive maintenance and spare parts inventory in multi-component systems is crucial for industrial applications, especially as many expensive, complex equipments can be repaired and reused.This study investigates this joint decision-making using a discrete multi-state degradation model, focusing on the unique characteristics of repairable systems, including their structure and maintenance strategies.First, the operational interactions among production, maintenance, and inventory are analysed to derive state transition probability models for degradation and

Authors

Publication Details

Journal
International Journal of Reliability and Safety
Published
2025-01-01
DOI
https://doi.org/10.1504/ijrs.2025.143779
Citations
1
Primary Topic
Reliability and Maintenance Optimization
Type
article
Field-Weighted Citation Impact
1.30

Funders

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Joint sequential decision of maintenance and spare parts inventory for multi-unit repairable systems

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Joint sequential decision of maintenance and spare parts inventory for multi-unit repairable systems

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article en
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Abstract

Joint decision-making for preventive maintenance and spare parts inventory in multi-component systems is crucial for industrial applications, especially as many expensive, complex equipments can be repaired and reused.This study investigates this joint decision-making using a discrete multi-state degradation model, focusing on the unique characteristics of repairable systems, including their structure and maintenance strategies.First, the operational interactions among production, maintenance, and inventory are analysed to derive state transition probability models for degradation and

International Journal of Reliability and SafetyVol. 19(1)
National Natural Science Foundation of China, Shanxi Scholarship Council of China, Natural Science Foundation of Shanxi Province
Openalex Percentile: Top 26%
Reliability and Maintenance Optimization
1.30
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