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Optimal preventive maintenance policy for a system subject to two-phase imperfect inspections

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  • Zhang, Fengxia
  • Shen, Jingyuan
  • Liao, Haitao
  • Ma, Yizhong

Abstract

Inspections are essential to finding the health status of a system. However, inspections are usually imperfect, which may not always reveal the true state of the system. Most of research on imperfect inspections of degrading systems focuses on one-phase inspections, but a multi-phase inspection strategy may be more flexible and efficient. In this paper, a two-phase imperfect inspection strategy is considered along with a hybrid preventive maintenance policy for a three-state system. To minimize the maintenance cost, the optimal inspection interval and number of inspections in each phase are obtained based on the renewal reward theorem. Numerical examples are provided to illustrate the proposed method and to explore some managerial insights. To show the advantages of the proposed method, several special models, such as perfect inspection model, one-phase inspection model, and pure inspection model, are presented for comparison. One can see that taking account of imperfect inspections in maintenance management is important, the two-phase inspection policy is generally better than the one-phase inspection, and the pure inspection model might be cost-optimal for the system with a constant defect rate.

Suggested Citation

  • Zhang, Fengxia & Shen, Jingyuan & Liao, Haitao & Ma, Yizhong, 2021. "Optimal preventive maintenance policy for a system subject to two-phase imperfect inspections," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
  • Handle: RePEc:eee:reensy:v:205:y:2021:i:c:s0951832020307547
    DOI: 10.1016/j.ress.2020.107254
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    Cited by:

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    5. Santos, Augusto César de Jesus & Cavalcante, Cristiano Alexandre Virgínio, 2022. "A study on the economic and environmental viability of second-hand items in maintenance policies," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    6. He, Rui & Tian, Zhigang & Wang, Yifei & Zuo, Mingjian & Guo, Ziwei, 2023. "Condition-based maintenance optimization for multi-component systems considering prognostic information and degraded working efficiency," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    7. Mehryar, Mehdi & Hafezalkotob, Ashkan & Azizi, Amir & Sobhani, Farzad Movahedi, 2023. "Dynamic zoning of the network using cooperative transmission and maintenance planning: A solution for sustainability of water distribution networks," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    8. Finkelstein, Maxim & Cha, Ji Hwan & Langston, Amy, 2023. "Improving classical optimal age-replacement policies for degrading items," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    9. Akcay, Alp, 2022. "An alert-assisted inspection policy for a production process with imperfect condition signals," European Journal of Operational Research, Elsevier, vol. 298(2), pages 510-525.
    10. Wang, Jiantai & Zhou, Shihan & Peng, Rui & Qiu, Qingan & Yang, Li, 2023. "An inspection-based replacement planning in consideration of state-driven imperfect inspections," Reliability Engineering and System Safety, Elsevier, vol. 232(C).
    11. 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).
    12. Yassine Eddouh & Abdelmajid Daya & Rabie Elotmani & Abdelhamid Touache, 2023. "Age replacement and inspection models for estimating optimal maintenance cost: numerical performance comparisons with a case study from chemical industries," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(4), pages 1354-1369, August.
    13. Cheng, Dawei & Lu, Zhong & Zhou, Jia & Liang, Xihui, 2023. "An optimizing maintenance policy for airborne redundant systems operating with faults by using Markov process and NSGA-II," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    14. Wang, Jiantai & Ma, Xiaobing & Yang, Li & Qiu, Qingan & Shang, Lijun & Wang, Jingjing, 2024. "A hybrid inspection-replacement policy for multi-stage degradation considering imperfect inspection with variable probabilities," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    15. Alberti, A.R. & Neto, W.A. Ferreira & Cavalcante, C.A.V. & Santos, A.C.J., 2022. "Modelling a flexible two-phase inspection-maintenance policy for safety-critical systems considering revised and non-revised inspections," Reliability Engineering and System Safety, Elsevier, vol. 221(C).

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