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Reliability modeling and opportunistic maintenance optimization for a multicomponent system with structural dependence

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  • Dinh, Duc-Hanh
  • Do, Phuc
  • Iung, Benoit
  • Nguyen, Pham-The-Nhan

Abstract

In manufacturing systems, components are typically structurally interdependent, and the maintenance of a component often requires the disassembly of one or several other components. The action of disassembly may adversely affect the failure behavior of disassembled components. This study aims to investigate how disassembly actions can affect the system reliability and opportunistic maintenance optimization of disassembled components in a multicomponent system subjected to structural dependence. First, the impact of a disassembly action on the failure rate of a disassembled component was investigated and mathematically formulated. The proposed model considered both the component properties and skills of maintenance technicians. Subsequently, a reliability model integrating the impact of the disassembly action was developed. Finally, to consider the impact of structural dependence on maintenance optimization, an adaptive opportunistic maintenance policy was proposed. The proposed opportunistic maintenance policy also considered the economic dependence between components, whereby the joint maintenance of several components could reduce the total maintenance cost. Various numerical studies have been conducted to illustrate the feasibility and advantages of the proposed models and opportunistic policies. The results showed the effects of disassembly actions on the system. It also showed that omitting the impact of these actions could lead to an underestimation of the failure risk of the components and system, leading to a suboptimal maintenance policy.

Suggested Citation

  • Dinh, Duc-Hanh & Do, Phuc & Iung, Benoit & Nguyen, Pham-The-Nhan, 2024. "Reliability modeling and opportunistic maintenance optimization for a multicomponent system with structural dependence," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    • Handle: RePEc:eee:reensy:v:241:y:2024:i:c:s0951832023006221
    DOI: 10.1016/j.ress.2023.109708
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    1. L. C. Thomas, 1985. "Replacement of Systems and Components in Renewal Decision Problems," Operations Research, INFORMS, vol. 33(2), pages 404-411, April.
    2. Starling, James K. & Mastrangelo, Christina & Choe, Youngjun, 2021. "Improving Weibull distribution estimation for generalized Type I censored data using modified SMOTE," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
    3. Alaswad, Suzan & Xiang, Yisha, 2017. "A review on condition-based maintenance optimization models for stochastically deteriorating system," Reliability Engineering and System Safety, Elsevier, vol. 157(C), pages 54-63.
    4. Chen, Nan & Ye, Zhi-Sheng & Xiang, Yisha & Zhang, Linmiao, 2015. "Condition-based maintenance using the inverse Gaussian degradation model," European Journal of Operational Research, Elsevier, vol. 243(1), pages 190-199.
    5. Chen, Yuan & Qiu, Qingan & Zhao, Xian, 2022. "Condition-based opportunistic maintenance policies with two-phase inspections for continuous-state systems," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    6. Wang, Yifei & He, Rui & Tian, Zhigang, 2023. "Opportunistic condition-based maintenance optimization for electrical distribution systems," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    7. 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).
    8. Liu, Qiannan & Ma, Lin & Wang, Naichao & Chen, Ankang & Jiang, Qihang, 2022. "A condition-based maintenance model considering multiple maintenance effects on the dependent failure processes," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    9. Liu, Di & Wang, Shaoping, 2021. "Reliability estimation from lifetime testing data and degradation testing data with measurement error based on evidential variable and Wiener process," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    10. Liu, Bin & Wu, Shaomin & Xie, Min & Kuo, Way, 2017. "A condition-based maintenance policy for degrading systems with age- and state-dependent operating cost," European Journal of Operational Research, Elsevier, vol. 263(3), pages 879-887.
    11. 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.
    12. Olde Keizer, Minou C.A. & Flapper, Simme Douwe P. & Teunter, Ruud H., 2017. "Condition-based maintenance policies for systems with multiple dependent components: A review," European Journal of Operational Research, Elsevier, vol. 261(2), pages 405-420.
    13. Dao, Cuong D. & Zuo, Ming J. & Pandey, Mayank, 2014. "Selective maintenance for multi-state series–parallel systems under economic dependence," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 240-249.
    14. Haohao Shi & Ji Zhang & Enrico Zio & Xufeng Zhao, 2023. "Opportunistic maintenance policies for multi-machine production systems with quality and availability improvement," Post-Print hal-04103539, HAL.
    15. Olde Keizer, Minou C.A. & Teunter, Ruud H. & Veldman, Jasper, 2016. "Clustering condition-based maintenance for systems with redundancy and economic dependencies," European Journal of Operational Research, Elsevier, vol. 251(2), pages 531-540.
    16. Shi, Haohao & Zhang, Ji & Zio, Enrico & Zhao, Xufeng, 2023. "Opportunistic maintenance policies for multi-machine production systems with quality and availability improvement," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
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