A two-scale maintenance policy for protection systems subject to shocks when meeting demands

Alberti, Alexandre Ramalho; Cavalcante, Cristiano Alexandre Virgínio

doi:10.1016/j.ress.2020.107118

Cited by 11 publications

(1 citation statement)

References 36 publications

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“…Gao 14 presented an optimal sequential PM policy for a repairable system with a monotone increasing failure intensity function. Alberti and Cavalcante 15 used an additive failure rate model to present a two‐scale maintenance policy for protection systems subjects to shocks. Moreover, various failure rate models concerning Cox proportional hazard and similar Cox proportional hazard models based on multiplicative failure rate model were established in the literature of maintenance optimization to model dynamic environment effects (see Reference 16,17 and the references therein).…”

Section: Introductionmentioning

confidence: 99%

Optimal shock‐based maintenance policy for a system in a dynamic environment

Misaii

Haghighi

Fouladirad

2022

Appl Stoch Models Bus & Ind

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In this article, we consider a single-unit system that operates in a dynamic environment and is subject to shocks. Shocks only affect the system (nonlethal shock) and do not cause sudden failure, and arrive according to a counting process. Both homogeneous and nonhomogeneous Poisson processes are considered for shocks arrival modeling. In order to model the dynamic environment and consider shock effects, a multiplicative failure rate model is proposed. Both corrective maintenance and shock-based preventive maintenance are considered, and two policies are proposed. In the first proposed policy, the system is replaced by a new one upon a failure or based on the predetermined number of shocks, whichever comes first, while the second proposed policy extends the first one by considering an imperfect preventive repair at each inspection time. The inspection times are periodic and the interinspection interval is considered as a decision variable. The proposed policies are optimized according to long-run cost rate criteria. Numerical examples illustrate the applicability and efficiency of the proposed policies.

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Section: Introductionmentioning

confidence: 99%