This work addresses the unique production challenges in dynamic smart manufacturing environments caused by the shift towards mass personalisation. Traditional scheduling methods do not perform ...

Abstract: Recently, deep reinforcement learning (DRL) is shown to be promising in learning dispatching rules end-to-end for complex scheduling problems. However, most research is limited to ...