Real-Time Optimization of Production Operations

5 projects

From "minute-scale recomputation" to "millisecond-scale real-time response": deep reinforcement learning and multi-objective optimization drive adaptive dynamic scheduling, closing the last mile from monitoring and diagnosis to actionable operational decisions

Research Directions

Explore More Research Directions of the Laboratory

Back to All Research Areas