Maintenance optimization for dependent two-component degrading systems subject to imperfect repair

Appropriate maintenance policies play an important role in improving system availability and ensuring safe operation. Seeking optimal maintenance policies for technical systems has been widely pursued by reliability engineers and researchers. In this paper, we propose a maintenance optimization meth...

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Bibliographic Details
Published in:Reliability engineering & system safety Vol. 240; p. 109581
Main Authors: Cheng, Wanqing, Zhao, Xiujie
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.12.2023
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ISSN:0951-8320, 1879-0836
Online Access:Get full text
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Summary:Appropriate maintenance policies play an important role in improving system availability and ensuring safe operation. Seeking optimal maintenance policies for technical systems has been widely pursued by reliability engineers and researchers. In this paper, we propose a maintenance optimization method that is applicable to dependent two-component systems subject to degradation and imperfect repair. We consider both economic and stochastic dependencies between the components and establish a random-effect imperfect repair model to realistically model the degradation process and maintainability of components. Moreover, we model the maintenance problem under the infinite horizon using the Markov decision process and obtain the optimal solution via value iteration algorithm. Structural insights are gleaned using the stochastic orders. A numerical example is then presented to illustrate the proposed methods. We discover that the characteristics of imperfect repair can considerably influence the optimal policies. Specifically, the mean effect of imperfect repair has a larger influence on maintenance decisions while the influence of imperfect repair variability effect is relatively small. •Dependent two-component degrading systems and imperfect repair are considered.•Both economic and stochastic dependencies amongst components are considered.•The optimal maintenance policy is obtained via the Markov decision process.•Structural insights are proved using the stochastic orders.
ISSN:0951-8320
1879-0836
DOI:10.1016/j.ress.2023.109581