Component-Wise Markov Decision Process for Solving Condition Based Maintenance of Large Multi-Component Systems with Economic Dependence
Author:
Affiliation:
1. Department of Industrial and Systems Engineering, University of Wisconsin, Madison, WI53706
2. Department of Industrial and Systems Engineering, University of Iowa, Iowa City, IA 52242
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/24725854.2023.2295376
Reference30 articles.
1. Alaswad S. and Xiang Y. (2017). A review on condition-based maintenance optimization models for stochastically deteriorating system. Reliability engineering & system safety 157:54–63.
2. Andersen J. F. (2022). Maintenance optimization for multi-component systems using markov decision processes.
3. Andersen J. F. Andersen A. R. Kulahci M. and Nielsen B. F. (2022). A numerical study of markov decision process algorithms for multi-component replacement problems. European Journal of Operational Research 299(3):898–909.
4. Anonymous (2023). A rollout approach for condition-based maintenance of large multi-unit systems. IEEE Transaction on Reliability submitted .
5. Barata J. Soares C. G. Marseguerra M. and Zio E. (2002). Simulation modelling of repairable multi-component deteriorating systems for ‘on condition’maintenance optimisation. Reliability Engineering & System Safety 76(3):255–264.
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