Aircraft Maintenance Check Scheduling Using Reinforcement Learning
This paper presents a Reinforcement Learning (RL) approach to optimize the long-term scheduling of maintenance for an aircraft fleet. The problem considers fleet status, maintenance capacity, and other maintenance constraints to schedule hangar checks for a specified time horizon. The checks are sch...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2021-04-01
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| Serie: | Aerospace |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2226-4310/8/4/113 |
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