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Stress-reducing preventive maintenance model for a unit under stressful environment

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  • Park, J.H.
  • Chang, Woojin
  • Lie, C.H.

Abstract

We develop a preventive maintenance (PM) model for a unit operated under stressful environment. The PM model in this paper consists of a failure rate model and two cost models to determine the optimal PM scheduling which minimizes a cost rate. The assumption for the proposed model is that stressful environment accelerates the failure of the unit and periodic maintenances reduce stress from outside. The failure rate model handles the maintenance effect of PM using improvement and stress factors. The cost models are categorized into two failure recognition cases: immediate failure recognition and periodic failure detection. The optimal PM scheduling is obtained by considering the trade-off between the related cost and the lifetime of a unit in our model setting. The practical usage of our proposed model is tested through a numerical example.

Suggested Citation

  • Park, J.H. & Chang, Woojin & Lie, C.H., 2012. "Stress-reducing preventive maintenance model for a unit under stressful environment," Reliability Engineering and System Safety, Elsevier, vol. 108(C), pages 42-48.
    • Handle: RePEc:eee:reensy:v:108:y:2012:i:c:p:42-48
    DOI: 10.1016/j.ress.2012.06.021
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    References listed on IDEAS

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    Cited by:

    1. Zhang, Mimi & Gaudoin, Olivier & Xie, Min, 2015. "Degradation-based maintenance decision using stochastic filtering for systems under imperfect maintenance," European Journal of Operational Research, Elsevier, vol. 245(2), pages 531-541.
    2. XiaoFei, Lu & Min, Liu, 2014. "Hazard rate function in dynamic environment," Reliability Engineering and System Safety, Elsevier, vol. 130(C), pages 50-60.

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