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