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Optimal switching policy for warm standby systems subjected to standby failure mode

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  • Jingyuan Shen
  • Jiawen Hu
  • Zhi-Sheng Ye

Abstract

Standby is used extensively in mission-critical and safety-critical systems to improve reliability and availability. The dormant period during standby may introduce additional failure modes to the standby components. This is commonly observed in many real systems, yet it has been overlooked in existing research. This study is motivated by a two-motor standby system used in a power plant, in which periodic switching between the two motors is used to mitigate standby failure. We propose a generic system reliability model that captures both the normal aging and standby failures. The long-run average cost of the system can be derived using the technique of semi-regenerative processes. Thereafter, the problem of the optimal switching policy is formulated with the objective of determining the optimal switching period that minimizes the long-run average cost. We further consider a special case where the component failures under normal-use conditions follow a Poisson process and the repair times are exponentially distributed. A numerical study is conducted to demonstrate the proposed methodologies.

Suggested Citation

  • Jingyuan Shen & Jiawen Hu & Zhi-Sheng Ye, 2020. "Optimal switching policy for warm standby systems subjected to standby failure mode," IISE Transactions, Taylor & Francis Journals, vol. 52(11), pages 1262-1274, November.
    • Handle: RePEc:taf:uiiexx:v:52:y:2020:i:11:p:1262-1274
    DOI: 10.1080/24725854.2019.1709136
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    Citations

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    Cited by:

    1. Hu, Jiawen & Shen, Jingyuan & Shen, Lijuan, 2020. "Opportunistic maintenance for two-component series systems subject to dependent degradation and shock," Reliability Engineering and System Safety, Elsevier, vol. 201(C).
    2. Zhang, Nan & Cai, Kaiquan & Deng, Yingjun & Zhang, Jun, 2024. "Joint optimization of condition-based maintenance and condition-based production of a single equipment considering random yield and maintenance delay," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    3. Zhu, Mixin & Zhou, Xiaojun, 2023. "Hierarchical-clustering-based joint optimization of spare part provision and maintenance scheduling for serial-parallel multi-station manufacturing systems," International Journal of Production Economics, Elsevier, vol. 264(C).
    4. Xufeng Zhao & Satoshi Mizutani & Mingchih Chen & Toshio Nakagawa, 2022. "Preventive replacement policies for parallel systems with deviation costs between replacement and failure," Annals of Operations Research, Springer, vol. 312(1), pages 533-551, May.
    5. Bai, Senyang & Jia, Xiang & Cheng, Zhijun & Guo, Bo, 2021. "Operation strategy optimization for on-orbit satellite subsystems considering multiple active switching," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    6. uit het Broek, Michiel A.J. & Teunter, Ruud H. & de Jonge, Bram & Veldman, Jasper, 2021. "Joint condition-based maintenance and condition-based production optimization," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    7. Zhao, Xian & Chai, Xiaofei & Sun, Jinglei & Qiu, Qingan, 2021. "Joint optimization of mission abort and component switching policies for multistate warm standby systems," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    8. Wang, Naichao & Hu, Jiawen & Ma, Lin & Xiao, Boping & Liao, Haitao, 2020. "Availability Analysis and Preventive Maintenance Planning for Systems with General Time Distributions," Reliability Engineering and System Safety, Elsevier, vol. 201(C).
    9. Shen, Jingyuan & Hu, Jiawen & Ma, Yizhong, 2020. "Two preventive replacement strategies for systems with protective auxiliary parts subject to degradation and economic dependence," Reliability Engineering and System Safety, Elsevier, vol. 204(C).

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