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A digital twin-driven flexible scheduling method in a human–machine collaborative workshop based on hierarchical reinforcement learning
Under the influence of the global COVID-19 pandemic, the demand for medical equipment and epidemic prevention materials has increased significantly, but the existing production lines are not flexible and efficient enough to dynamically adapt to market demand. The human–machine collaboration system c...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10189229/ https://www.ncbi.nlm.nih.gov/pubmed/37363699 http://dx.doi.org/10.1007/s10696-023-09498-7 |