With the acceleration of intelligent process, digital twin technology has become an effective way for the interactive integration of physical scheduling workshop and virtual scheduling model. Through digital twinning, we can not only receive the real-time data of physical space in the virtual scheduling model for relevant scheduling simulation and prediction, but also feed back these simulation and prediction results to the workshop site for scheduling scheme adjustment [18,19], which provides a solution to improve the real-time and predictability of multi-objective flexible job shop scheduling, so as to promote the intelligent operation of manufacturing system.<br>
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