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Bivariate preventive maintenance for repairable systems subject to random shocks

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  • Ji Hwan Cha
  • Maxim Finkelstein
  • Gregory Levitin

Abstract

We consider a bivariate model for preventive maintenance for items operating in a random environment modeled by a Poisson process of shocks. An item is replaced on the predetermined replacement time or on a shock with the predetermined number, whichever comes first. Its failures are minimally repaired in-between. Each shock in our stochastic model has a double effect. First, it acts directly on the failure rate of an item, which results in the corresponding stochastic intensity process. Second, each shock causes additional “damage,†which can be attributed, for example, to a short drop in the output of a system or other adverse consequences. The corresponding bivariate optimization problem is considered and illustrated by detailed numerical examples.

Suggested Citation

  • Ji Hwan Cha & Maxim Finkelstein & Gregory Levitin, 2017. "Bivariate preventive maintenance for repairable systems subject to random shocks," Journal of Risk and Reliability, , vol. 231(6), pages 643-653, December.
    • Handle: RePEc:sae:risrel:v:231:y:2017:i:6:p:643-653
    DOI: 10.1177/1748006X17721797
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    References listed on IDEAS

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    4. Montoro-Cazorla, Delia & Pérez-Ocón, Rafael & del Carmen Segovia, Maria, 2009. "Replacement policy in a system under shocks following a Markovian arrival process," Reliability Engineering and System Safety, Elsevier, vol. 94(2), pages 497-502.
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    Cited by:

    1. Faddoul, R. & Raphael, W. & Chateauneuf, A., 2018. "Maintenance optimization of series systems subject to reliability constraints," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 179-188.

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