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Preventive maintenance modeling for multi-component systems with considering stochastic failures and disassembly sequence

Author

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  • Zhou, Xiaojun
  • Huang, Kaimin
  • Xi, Lifeng
  • Lee, Jay

Abstract

The existed PM (preventive maintenance) efforts on multi-component systems usually ignore the PM opportunities at the component failure moments and the structure dependence among the system components. In this paper, a time window based PM model is proposed for multi-component systems with the stochastic failures and the disassembly sequence involved. Whenever one of the system components stochastically fails or reaches its reliability threshold, PM opportunities arise for other system components. A Monte-Carlo based algorithm is built up to simulate the stochastic failures and then to calculate the cumulative maintenance cost of the system. The optimal PM practice is obtained by minimizing the cumulative maintenance cost throughout the given time horizon. Finally, a numerical example is given to illustrate the calculation process and the availability of the proposed PM model.

Suggested Citation

  • Zhou, Xiaojun & Huang, Kaimin & Xi, Lifeng & Lee, Jay, 2015. "Preventive maintenance modeling for multi-component systems with considering stochastic failures and disassembly sequence," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 231-237.
    • Handle: RePEc:eee:reensy:v:142:y:2015:i:c:p:231-237
    DOI: 10.1016/j.ress.2015.05.005
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    References listed on IDEAS

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    Cited by:

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    11. Hongming Zhou & Sufen Wang & Faqun Qi & Shun Gao, 2022. "Maintenance modeling and operation parameters optimization for complex production line under reliability constraints," Annals of Operations Research, Springer, vol. 311(1), pages 507-523, April.
    12. Tan, Zhixue & Zhong, Shisheng & Lin, Lin, 2019. "Trans-layer model learning: A hierarchical modeling strategy for real-time reliability evaluation of complex systems," Reliability Engineering and System Safety, Elsevier, vol. 182(C), pages 120-132.
    13. Si, Guojin & Xia, Tangbin & Zhu, Ying & Du, Shichang & Xi, Lifeng, 2019. "Triple-level opportunistic maintenance policy for leasehold service network of multi-location production lines," Reliability Engineering and System Safety, Elsevier, vol. 190(C), pages 1-1.
    14. Zhang, Chengjie & Qi, Faqun & Zhang, Ning & Li, Yong & Huang, Hongzhong, 2022. "Maintenance policy optimization for multi-component systems considering dynamic importance of components," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    15. Zhou, Xiaojun & Yu, Mengqi, 2020. "Semi-dynamic maintenance scheduling for multi-station series systems in multi-specification and small-batch production," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    16. Dinh, Duc-Hanh & Do, Phuc & Iung, Benoit, 2022. "Multi-level opportunistic predictive maintenance for multi-component systems with economic dependence and assembly/disassembly impacts," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    17. Dao, Cuong D. & Zuo, Ming J., 2017. "Selective maintenance of multi-state systems with structural dependence," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 184-195.
    18. Zhu, Wenjin & Fouladirad, Mitra & Bérenguer, Christophe, 2016. "A multi-level maintenance policy for a multi-component and multifailure mode system with two independent failure modes," Reliability Engineering and System Safety, Elsevier, vol. 153(C), pages 50-63.
    19. de Jonge, Bram & Scarf, Philip A., 2020. "A review on maintenance optimization," European Journal of Operational Research, Elsevier, vol. 285(3), pages 805-824.

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