Joint optimization of maintenance and spare ordering policy for a competing failure system considering product quality

This paper proposes an integrated framework for maintenance, spare parts ordering, and quality control planning within a multi-state production system that is subject to two competing modes of failure: hard failure and soft failure. Hard failures occur suddenly and without any prior warning, whereas soft failures develop following the onset of a defect. The quality of the product is significantly influenced by the state of the system, as a defective system typically leads to an increase in non-conforming products. To address this, periodic inspections are conducted to detect defects early, and preventive replacements (PR) are scheduled upon identification of a defective state, which acts as a crucial quality control indicator. Corrective replacements (CR) become necessary when either a hard or soft failure occurs. The timeliness of these replacements is contingent upon spare part availability; thus, we implement a hybrid spare ordering policy to enhance responsiveness. PR and CR are executed promptly when time-based ordered spares are accessible, while a condition-based order is triggered in the event of shortages in time-based orders. To determine the optimal inspection interval and time-based spare ordering point, we analyze the renewal scenarios of the system with the objective of minimizing the expected cost rate. We propose an optimization algorithm and a simulation procedure to validate the effectiveness of our policy through numerical experiments. The results highlight the significant potential of our approach in reducing unit losses related to non-conforming products while effectively minimizing the expected cost rate.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability
Published
2025-03-04
DOI
https://doi.org/10.1177/1748006x251317570
Citations
1
Primary Topic
Reliability and Maintenance Optimization
Type
article
Field-Weighted Citation Impact
1.30

Funders

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article

Joint optimization of maintenance and spare ordering policy for a competing failure system considering product quality

Rui Peng, Qingan Qiu, Tingting Wang, Mengying Han
1 citations
Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability
Reliability and Maintenance Optimization
1.30
article

Joint optimization of maintenance and spare ordering policy for a competing failure system considering product quality

Rui Peng, Qingan Qiu, Tingting Wang, Mengying Han
article en
1 citations

Abstract

This paper proposes an integrated framework for maintenance, spare parts ordering, and quality control planning within a multi-state production system that is subject to two competing modes of failure: hard failure and soft failure. Hard failures occur suddenly and without any prior warning, whereas soft failures develop following the onset of a defect. The quality of the product is significantly influenced by the state of the system, as a defective system typically leads to an increase in non-conforming products. To address this, periodic inspections are conducted to detect defects early, and preventive replacements (PR) are scheduled upon identification of a defective state, which acts as a crucial quality control indicator. Corrective replacements (CR) become necessary when either a hard or soft failure occurs. The timeliness of these replacements is contingent upon spare part availability; thus, we implement a hybrid spare ordering policy to enhance responsiveness. PR and CR are executed promptly when time-based ordered spares are accessible, while a condition-based order is triggered in the event of shortages in time-based orders. To determine the optimal inspection interval and time-based spare ordering point, we analyze the renewal scenarios of the system with the objective of minimizing the expected cost rate. We propose an optimization algorithm and a simulation procedure to validate the effectiveness of our policy through numerical experiments. The results highlight the significant potential of our approach in reducing unit losses related to non-conforming products while effectively minimizing the expected cost rate.

Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and ReliabilityVol. 239(6)
Hebei University of Economics and Business (CN), Beijing Institute of Technology (CN), Beijing University of Technology (CN), Beijing Institute of Graphic Communication (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 24%
Reliability and Maintenance Optimization
1.30
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