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Joint optimization of condition-based performance control and maintenance policies for mission-critical systems

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  • Zhao, Xian
  • He, Zongda
  • Wu, Yaguang
  • Qiu, Qingan

Abstract

The failure behavior of mission-critical systems typically depends on their performance levels, which provides opportunities to control deterioration by adjusting the performance levels. In addition to performance level selection, preventive maintenance decision is another factor affecting system survivability and mission success probability, providing a new train of thought for joint optimization of preventive maintenance and performance control for effective risk control of mission-critical systems. In existing research, mission-based maintenance and performance control decisions are seldom considered. This paper focuses on mission-critical systems and investigates the joint optimization of maintenance and performance control policies to balance mission success probability and system survivability based on the workload and system state. The problem is formulated as a Markov decision process and structural properties are analyzed to determine the optimal maintenance and performance control policies. The maintenance strategies exhibit a threshold structure, which strongly depends on the relationship between the performance level and the degradation process. For the purpose of comparison, the performance of several heuristic strategies is analytically evaluated. The example of the data transmission satellite network is given to demonstrate the superiority of the proposed strategies in reducing operations costs.

Suggested Citation

  • Zhao, Xian & He, Zongda & Wu, Yaguang & Qiu, Qingan, 2022. "Joint optimization of condition-based performance control and maintenance policies for mission-critical systems," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    • Handle: RePEc:eee:reensy:v:226:y:2022:i:c:s0951832022002903
    DOI: 10.1016/j.ress.2022.108655
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    Cited by:

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    2. Zheng, Meimei & Su, Zhiyun & Wang, Dong & Pan, Ershun, 2024. "Joint maintenance and spare part ordering from multiple suppliers for multicomponent systems using a deep reinforcement learning algorithm," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    3. 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).
    4. Jun Wang & Yuyang Wang & Yuqiang Fu, 2023. "Joint Optimization of Condition-Based Maintenance and Performance Control for Linear Multi-State Consecutively Connected Systems," Mathematics, MDPI, vol. 11(12), pages 1-19, June.
    5. Zhang, Wenyu & Zhang, Xiaohong & He, Shuguang & Zhao, Xing & He, Zhen, 2024. "Optimal condition-based maintenance policy for multi-component repairable systems with economic dependence in a finite-horizon," Reliability Engineering and System Safety, Elsevier, vol. 241(C).

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