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Accelerated burn-in and condition-based maintenance for -subpopulations subject to stochastic degradation

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  • Yisha Xiang
  • David W. Coit
  • Qianmei (May) Feng

Abstract

For some engineering design and manufacturing applications, particularly for evolving and new technologies, populations of manufactured components can be heterogeneous and consist of several subpopulations. The co-existence of n subpopulations can be common in devices when the manufacturing process is still maturing or highly variable. A new model is developed and demonstrated to determine accelerated burn-in and condition-based maintenance policies for populations composed of distinct subpopulations subject to stochastic degradation. Accelerated burn-in procedures with multiple accelerating factors are considered for the degradation-based heterogeneous populations. Condition-based maintenance is implemented during field operation after burn-in procedures. The proposed joint accelerated burn-in and condition-based maintenance policy are compared with two benchmark policies: a joint accelerated burn-in and age-based preventive replacement policy and a condition-based maintenance-only policy. Numerical examples are provided to illustrate the proposed procedure. Sensitivity analysis is performed to investigate the value of joint accelerated burn-in and condition-based maintenance policy and to indicate which type of policy should be applied according to different conditions and device characteristics.

Suggested Citation

  • Yisha Xiang & David W. Coit & Qianmei (May) Feng, 2014. "Accelerated burn-in and condition-based maintenance for -subpopulations subject to stochastic degradation," IISE Transactions, Taylor & Francis Journals, vol. 46(10), pages 1093-1106, October.
    • Handle: RePEc:taf:uiiexx:v:46:y:2014:i:10:p:1093-1106
    DOI: 10.1080/0740817X.2014.889335
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    Cited by:

    1. Cheng, Yao & Wei, Yian & Liao, Haitao, 2022. "Optimal sampling-based sequential inspection and maintenance plans for a heterogeneous product with competing failure modes," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).
    2. Jingyuan Shen & Lirong Cui, 2017. "Reliability performance for dynamic multi-state repairable systems with regimes," IISE Transactions, Taylor & Francis Journals, vol. 49(9), pages 911-926, September.
    3. Li, Heping & Deloux, Estelle & Dieulle, Laurence, 2016. "A condition-based maintenance policy for multi-component systems with Lévy copulas dependence," Reliability Engineering and System Safety, Elsevier, vol. 149(C), pages 44-55.
    4. 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.
    5. Peng, Rui & He, Xiaofeng & Zhong, Chao & Kou, Gang & Xiao, Hui, 2022. "Preventive maintenance for heterogeneous parallel systems with two failure modes," Reliability Engineering and System Safety, Elsevier, vol. 220(C).
    6. Zhai, Qingqing & Ye, Zhi-Sheng & Yang, Jun & Zhao, Yu, 2016. "Measurement errors in degradation-based burn-in," Reliability Engineering and System Safety, Elsevier, vol. 150(C), pages 126-135.
    7. David T. Abdul‐Malak & Jeffrey P. Kharoufeh & Lisa M. Maillart, 2019. "Maintaining systems with heterogeneous spare parts," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(6), pages 485-501, September.
    8. Azadeh, A. & Asadzadeh, S.M. & Salehi, N. & Firoozi, M., 2015. "Condition-based maintenance effectiveness for series–parallel power generation system—A combined Markovian simulation model," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 357-368.

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