A bivariate process-based mean residual lifetime model for maintenance and inspection planning. (January 2022)

• Record Type: Journal Article
• Authors: Ahmadi, Reza
• Is Part Of: Computers & industrial engineering. Volume 163(2022)
• Publication Date: 2022-01
• Subjects: Bivariate state-dependent MRL process -- Maintenance -- Inspection -- Characterization -- Renewal-reward theorem; Engineering -- Data processing -- Periodicals; Industrial engineering -- Periodicals; 620.00285
• DOI: 10.1016/j.cie.2021.107792
• Languages: English
• ISSNs: 0360-8352

Abstract

Highlights: A generic mean residual lifetime model is explored. The model outperforms the ordinary MRL and existing age and state-dependent MRLs. The characterization problem is addressed for the explored model. An age-state-dependent inspection and threshold-type replacement policy is given. Abstract: In this paper, we present a new performance metric for the reliability analysis of a deteriorating system composed of n parallel subsystems. The explored model outperforms the ordinary mean residual lifetime (MRL) and other state-dependent MRL models in the actual circumstance that it incorporates not only the age factor, but also two basic processes: the number of failed subsystems and the operating environment. Using the new model as a decision variable and the average cost rate as a measure of policy, we further examine a maintenance optimization problem for the joint determination of an optimal inspection interval and a replacement rule. The proposed model and, in particular, the behavior of the optimal solutions as the model parameters vary are illustrated through numerical examples.