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Two preventive replacement strategies for systems with protective auxiliary parts subject to degradation and economic dependence

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  • Shen, Jingyuan
  • Hu, Jiawen
  • Ma, Yizhong

Abstract

In many engineering systems, except for the critical parts fulfilling the main functions, there exist some parts equipped to protect the critical parts and enhance their reliabilities. Failures of these protective parts (named as auxiliary parts) do not halt the system directly like the critical parts. Dependence between the critical and auxiliary parts is commonly observed but has seen limited research. In this paper, we study systems with a critical subsystem and a protective auxiliary subsystem subject to degradation and economic dependence. For such systems, two preventive replacement models are presented. Model I allows the two subsystems to be replaced separately while Model II provides a joint replacement strategy. The long-run average cost of the system is derived by the technique of semi-regenerative process. Thereafter, the optimization problem is formulated with the objective of determining the optimal inspection period and preventive replacement thresholds that minimize the long-run average cost of each model. A numerical study of a boring tool equipped with a damper as the auxiliary subsystem is provided to demonstrate the proposed method. Finally, sensitivity analysis on the cost parameters is conducted, based on which the two proposed maintenance models are compared and their application conditions are discussed.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:reensy:v:204:y:2020:i:c:s0951832020306451
    DOI: 10.1016/j.ress.2020.107144
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    References listed on IDEAS

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    1. Sheu, Shey-Huei & Liu, Tzu-Hsin & Zhang, Zhe-George, 2019. "Extended optimal preventive replacement policies with random working cycle," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 398-415.
    2. Hu, Jiawen & Chen, Piao, 2020. "Predictive maintenance of systems subject to hard failure based on proportional hazards model," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    3. Jiawen Hu & Zuhua Jiang & Haitao Liao, 2017. "Preventive maintenance of a batch production system under time-varying operational condition," International Journal of Production Research, Taylor & Francis Journals, vol. 55(19), pages 5681-5705, October.
    4. Hong Zhang & Zhuang Xing & Jiajian Song & Qiangqiang Yang, 2018. "Development and Test Application of an Auxiliary Power-Integrated System," Energies, MDPI, vol. 11(1), pages 1-18, January.
    5. Julia S. Benoit & Wenyaw Chan & Rachelle S. Doody, 2015. "Joint coverage probability in a simulation study on continuous-time Markov chain parameter estimation," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(12), pages 2531-2538, December.
    6. Yang, Li & Ye, Zhi-sheng & Lee, Chi-Guhn & Yang, Su-fen & Peng, Rui, 2019. "A two-phase preventive maintenance policy considering imperfect repair and postponed replacement," European Journal of Operational Research, Elsevier, vol. 274(3), pages 966-977.
    7. Levitin, Gregory & Xing, Liudong & Ben-Haim, Hanoch & Huang, Hong-Zong, 2019. "Dynamic demand satisfaction probability of consecutive sliding window systems with warm standby components," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 397-405.
    8. Do, Phuc & Assaf, Roy & Scarf, Phil & Iung, Benoit, 2019. "Modelling and application of condition-based maintenance for a two-component system with stochastic and economic dependencies," Reliability Engineering and System Safety, Elsevier, vol. 182(C), pages 86-97.
    9. Taghipour, Sharareh & Banjevic, Dragan & Jardine, Andrew K.S., 2010. "Periodic inspection optimization model for a complex repairable system," Reliability Engineering and System Safety, Elsevier, vol. 95(9), pages 944-952.
    10. 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.
    11. Gao, Hongda & Cui, Lirong & Qiu, Qingan, 2019. "Reliability modeling for degradation-shock dependence systems with multiple species of shocks," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 133-143.
    12. Piao Chen & Zhi-Sheng Ye & Qingqing Zhai, 2020. "Parametric analysis of time-censored aggregate lifetime data," IISE Transactions, Taylor & Francis Journals, vol. 52(5), pages 516-527, May.
    13. Zhou, Yifan & Lin, Tian Ran & Sun, Yong & Ma, Lin, 2016. "Maintenance optimisation of a parallel-series system with stochastic and economic dependence under limited maintenance capacity," Reliability Engineering and System Safety, Elsevier, vol. 155(C), pages 137-146.
    14. Shahraki, Ameneh Forouzandeh & Yadav, Om Prakash & Vogiatzis, Chrysafis, 2020. "Selective maintenance optimization for multi-state systems considering stochastically dependent components and stochastic imperfect maintenance actions," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    15. Xian Zhao & Jing Zhang & Xiaoyue Wang, 2019. "Joint optimization of components redundancy, spares inventory and repairmen allocation for a standby series system," Journal of Risk and Reliability, , vol. 233(4), pages 623-638, August.
    16. Taghipour, Sharareh & Banjevic, Dragan, 2012. "Optimal inspection of a complex system subject to periodic and opportunistic inspections and preventive replacements," European Journal of Operational Research, Elsevier, vol. 220(3), pages 649-660.
    17. 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.
    18. Dao, Cuong D. & Zuo, Ming J., 2017. "Selective maintenance of multi-state systems with structural dependence," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 184-195.
    19. Dieulle, L. & Berenguer, C. & Grall, A. & Roussignol, M., 2003. "Sequential condition-based maintenance scheduling for a deteriorating system," European Journal of Operational Research, Elsevier, vol. 150(2), pages 451-461, October.
    20. Sharareh Taghipour & Dragan Banjevic, 2012. "Optimum inspection interval for a system under periodic and opportunistic inspections," IISE Transactions, Taylor & Francis Journals, vol. 44(11), pages 932-948.
    21. Hajipour, Yassin & Taghipour, Sharareh, 2016. "Non-periodic inspection optimization of multi-component and k-out-of-m systems," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 228-243.
    22. John A. Flory & Jeffrey P. Kharoufeh & Nagi Z. Gebraeel, 2014. "A switching diffusion model for lifetime estimation in randomly varying environments," IISE Transactions, Taylor & Francis Journals, vol. 46(11), pages 1227-1241, November.
    23. Jiang, Tao & Liu, Yu, 2017. "Parameter inference for non-repairable multi-state system reliability models by multi-level observation sequences," Reliability Engineering and System Safety, Elsevier, vol. 166(C), pages 3-15.
    24. D. N. P. Murthy & D. G. Nguyen, 1985. "Study of two‐component system with failure interaction," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 32(2), pages 239-247, May.
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