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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...
Autores principales: | Silva, Catarina, Andrade, Pedro, Ribeiro, Bernardete, F. Santos, Bruno |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
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 |
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