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Reliability optimization problem with the mixed strategy, degrading components, and a periodic inspection and maintenance policy

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  • Golmohammadi, Elnaz
  • Ardakan, Mostafa Abouei

Abstract

Redundant components stored in the standby mode degrade over time due to harsh environmental conditions. A proper inspection and maintenance plan is, therefore, required to combat performance degradation while maintaining system reliability. The present study presents a new reliability model for a system composed of simultaneously active and standby components with the standby ones prone to degradation. In this model, a periodic inspection and preventive maintenance policy is adopted for the standby components that needs to be duly scheduled. Thus, not only should the optimal component types be identified but the number of active and standby components in each subsystem needs to be determined as well. The objective function is to find optimal inspection intervals that ensure maximum system reliability with system constraints duly considered. For this purpose, a model is proposed for the problem at hand and a genetic algorithm is developed for its solution. Finally, a numerical example and an industrial case study are presented to verify the efficiency of the proposed model through sensitivity analysis in the presence and absence of the inspection policy.

Suggested Citation

  • Golmohammadi, Elnaz & Ardakan, Mostafa Abouei, 2022. "Reliability optimization problem with the mixed strategy, degrading components, and a periodic inspection and maintenance policy," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    • Handle: RePEc:eee:reensy:v:223:y:2022:i:c:s0951832022001612
    DOI: 10.1016/j.ress.2022.108500
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    Cited by:

    1. 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).
    2. Levitin, Gregory & Xing, Liudong & Dai, Yuanshun, 2022. "Heterogeneous 1-out-of-n standby systems with limited unit operation time," Reliability Engineering and System Safety, Elsevier, vol. 224(C).
    3. Xu, Dong & Tian, Yubin & Shi, Junbiao & Wang, Dianpeng & Zhang, Ming & Li, Haijin, 2023. "Reliability analysis and optimal redundancy for a satellite power supply system based on a new dynamic k-out-of-n: G model," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    4. Zhang, Zixuan & Yang, Lin & Xu, Youwei & Zhu, Ran & Cao, Yining, 2023. "A novel reliability redundancy allocation problem formulation for complex systems," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    5. Juybari, Mohammad N. & Hamadani, Ali Zeinal & Ardakan, Mostafa Abouei, 2023. "Availability analysis and cost optimization of a repairable system with a mix of active and warm-standby components in a shock environment," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    6. Yu Zang & Jiaxiang E & Lance Fiondella, 2024. "A Network Reliability Analysis Method for Complex Real-Time Systems: Case Studies in Railway and Maritime Systems," Mathematics, MDPI, vol. 12(19), pages 1-30, September.
    7. Liu, Baoliang & Wen, Yanqing & Qiu, Qingan & Shi, Haiyan & Chen, Jianhui, 2022. "Reliability analysis for multi-state systems under K-mixed redundancy strategy considering switching failure," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    8. Hsieh, Tsung-Jung, 2023. "A Q-learning guided search for developing a hybrid of mixed redundancy strategies to improve system reliability," Reliability Engineering and System Safety, Elsevier, vol. 236(C).

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