A novel condition-based maintenance framework for parallel manufacturing systems based on bivariate birth/birth–death processes
Author:
Funder
University of Tehran
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality
Reference56 articles.
1. Dynamic maintenance decision-making for series–parallel manufacturing system based on MAM–MTW methodology;Xia;European J Oper Res,2012
2. Condition-based maintenance implementation: A literature review;Teixeira;Procedia Manuf,2020
3. Season-dependent condition-based maintenance for a wind turbine using a partially observed Markov decision process;Byon;IEEE Trans Power Syst,2010
4. Continuous-observation partially observable semi-Markov decision processes for machine maintenance;Zhang;IEEE Trans Reliab,2016
5. A review on condition-based maintenance optimization models for stochastically deteriorating system;Alaswad;Reliab Eng Syst Saf,2017
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