Optimal condition-based maintenance policy for multi-component repairable systems with economic dependence in a finite-horizon
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality
Reference47 articles.
1. A condition-based maintenance policy for degrading systems with age- and state-dependent operating cost;Liu;European Journal of Operational Research,2017
2. Degradation-based maintenance decision using stochastic filtering for systems under imperfect maintenance;Zhang;European Journal of Operational Research,2015
3. Optimizing imperfect preventive maintenance in multi-component repairable systems under s-dependent competing risks;Zhang;Reliability Engineering & System Safety,2022
4. An overview of time-based and condition-based maintenance in industrial application;Ahmad;Computers & Industrial Engineering,2012
5. A finite-time maintenance policy of deteriorating systems with multiple dependent performance characteristics;He;Journal of Management Science and Engineering,2022
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