A dynamic ``predict, then optimize preventive maintenance approach using operational intervention data
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Publication:2672130
DOI10.1016/j.ejor.2022.01.037OpenAlexW4210356834WikidataQ114184357 ScholiaQ114184357MaRDI QIDQ2672130
Heletjé E. van Staden, Laurens Deprez, Robert N. Boute
Publication date: 8 June 2022
Published in: European Journal of Operational Research (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejor.2022.01.037
Reliability, availability, maintenance, inspection in operations research (90B25) Markov and semi-Markov decision processes (90C40)
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Cites Work
- Unnamed Item
- A hybrid condition-based maintenance policy for continuously monitored components with two degradation thresholds
- Variable length Markov chains
- The effect of multi-sensor data on condition-based maintenance policies
- Age-based maintenance under population heterogeneity: optimal exploration and exploitation
- A review on maintenance optimization
- Optimal policies for a delay time model with postponed replacement
- Condition-based maintenance policies under imperfect maintenance at scheduled and unscheduled opportunities
- A censored copula model for micro-level claim reserving
- Censored lifetime learning: optimal Bayesian age-replacement policies
- Joint Optimization of Sampling and Control of Partially Observable Failing Systems
- Optimum Preventive Maintenance Policies
- Non-Life Insurance Pricing with Generalized Linear Models
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