A digital twin-driven flexible scheduling method in a human-machine collaborative workshop based on hierarchical reinforcement learning
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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. ... ...
