Improving classical optimal age-replacement policies for degrading items
Finkelstein, Maxim and Cha, Ji Hwan and Langston, Amy (2023) Improving classical optimal age-replacement policies for degrading items. Reliability Engineering and System Safety, 236. 109303. ISSN 0951-8320 (https://doi.org/10.1016/j.ress.2023.109303)
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Abstract
We consider items with observable at inspections degradation. Following an inspection, a decision is made whether to replace an item or to continue operation. When degradation is relatively small, it is cost-beneficial to continue operation and postpone the preventive maintenance. The innovative, probabilistically justified replacement policy defines the postponement in this case. It is based on comparison of the observed degradation with the specially defined reference values. Degradation is modeled by the increasing stochastic process, specifically by the Poisson counting process and by the homogeneous gamma process. Detailed illustrative numerical examples describing the main steps of the developed original methodology are provided. They also show that the proposed policy can result in a significant cost reduction and increase in the replacement times.
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Item type: Article ID code: 85378 Dates: DateEvent31 August 2023Published27 April 2023Published Online10 April 2023AcceptedKeywords: cost reduction, preventive maintenance, inspections degradation, inspections, Risk Management, Applied Mathematics, Industrial and Manufacturing Engineering, Safety, Risk, Reliability and Quality Subjects: Social Sciences > Industries. Land use. Labor > Risk Management Department: Strathclyde Business School > Management Science Depositing user: Pure Administrator Date deposited: 03 May 2023 14:48 Last modified: 31 Aug 2023 03:01 URI: https://strathprints.strath.ac.uk/id/eprint/85378