Open access
Aug 2026
Preference-conditioned deep reinforcement learning for dynamic scheduling in sustainable and robust manufacturing
The study demonstrates the potential of CPPS-oriented and preference-conditioned DRL for adaptive, energy-aware, and robust scheduling in smart manufacturing systems.
Chao Zhang, Gabriela Ventura Silva, Christoph Herrmann
· Production Engineering · 0 citations