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Optimization of preventive replacements dates and covariate inspections for repairable systems in varying environments

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  • Brenière, Léa
  • Doyen, Laurent
  • Bérenguer, Christophe

Abstract

This study investigates the issue of optimal preventive replacement scheduling for a repairable system, considering its failure/repair history and its environment or degradation, as characterised by covariates. The proposed approach is developed within a recurrent event modelling framework, in which the failure behaviour of the system is defined by its failure intensity, and perfect preventive replacements and imperfect corrective repairs are integrated following a virtual age assumption. The observed heterogeneity between systems is integrated through covariates by following a proportional hazard assumption. These covariates are assumed to be either fixed and represent, for example, the manufacturer origin, or to be dynamic and represent the monitored degradation process.

Suggested Citation

  • Brenière, Léa & Doyen, Laurent & Bérenguer, Christophe, 2023. "Optimization of preventive replacements dates and covariate inspections for repairable systems in varying environments," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1126-1141.
    • Handle: RePEc:eee:ejores:v:308:y:2023:i:3:p:1126-1141
    DOI: 10.1016/j.ejor.2022.12.005
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    References listed on IDEAS

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