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Reliability analysis of a retrial machine repair problem with warm standbys and a single server with N-policy

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  • Chen, Wu-Lin
  • Wang, Kuo-Hsiung

Abstract

This study analyzes the system reliability of the retrial machine repair system with M operating units, S warm standby units and a single repair server with N-policy. Failure times of operating units and standby units are assumed to have exponential distributions with rates λ and η, respectively. When the repair server normally operates in serving failed units, it is subject to breakdown. The time to failure and the repair time for the single server are assumed to follow exponential distributions. When the server is broken down, it can also provide partial repair service with lower service rate. The repair times of failed units also have exponential distributions. Extensive numerical experiments are designed and executed to realize how performance measures are affected by the change of each system parameter.

Suggested Citation

  • Chen, Wu-Lin & Wang, Kuo-Hsiung, 2018. "Reliability analysis of a retrial machine repair problem with warm standbys and a single server with N-policy," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 476-486.
  • Handle: RePEc:eee:reensy:v:180:y:2018:i:c:p:476-486
    DOI: 10.1016/j.ress.2018.08.011
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    References listed on IDEAS

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    6. Efrosinin, Dmitry & Winkler, Anastasia, 2011. "Queueing system with a constant retrial rate, non-reliable server and threshold-based recovery," European Journal of Operational Research, Elsevier, vol. 210(3), pages 594-605, May.
    7. Wells, Charles E., 2014. "Reliability analysis of a single warm-standby system subject to repairable and nonrepairable failures," European Journal of Operational Research, Elsevier, vol. 235(1), pages 180-186.
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    Cited by:

    1. Li, Mingjia & Hu, Linmin & Peng, Rui & Bai, Zhuoxin, 2021. "Reliability modeling for repairable circular consecutive-k-out-of-n: F systems with retrial feature," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    2. Shengli Lv, 2021. "Multi-Machine Repairable System with One Unreliable Server and Variable Repair Rate," Mathematics, MDPI, vol. 9(11), pages 1-16, June.
    3. Jia, Heping & Peng, Rui & Yang, Li & Wu, Tianyi & Liu, Dunnan & Li, Yanbin, 2022. "Reliability evaluation of demand-based warm standby systems with capacity storage," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    4. Kumar, Pankaj & Jain, Madhu, 2020. "Reliability analysis of a multi-component machining system with service interruption, imperfect coverage, and reboot," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    5. Wang, Yan & Hu, Linmin & Yang, Li & Li, Jing, 2022. "Reliability modeling and analysis for linear consecutive-k-out-of-n: F retrial systems with two maintenance activities," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    6. Yang, Dong-Yuh & Wu, Chia-Huang, 2021. "Evaluation of the availability and reliability of a standby repairable system incorporating imperfect switchovers and working breakdowns," Reliability Engineering and System Safety, Elsevier, vol. 207(C).

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