Adaptive reinforcement learning for task scheduling in aircraft maintenance

This paper proposes using reinforcement learning (RL) to schedule maintenance tasks, which can significantly reduce direct operating costs for airlines. The approach consists of a static algorithm for long-term scheduling and an adaptive algorithm for rescheduling based on new maintenance informatio...

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Detalles Bibliográficos
Autores principales: Silva, Catarina, Andrade, Pedro, Ribeiro, Bernardete, F. Santos, Bruno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547829/
https://www.ncbi.nlm.nih.gov/pubmed/37789033
http://dx.doi.org/10.1038/s41598-023-41169-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10547829/
https://www.ncbi.nlm.nih.gov/pubmed/37789033
http://dx.doi.org/10.1038/s41598-023-41169-3

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