Manufacturing System

Manufacturing system research focuses on optimizing production efficiency, flexibility, and quality through advanced modeling and control techniques. Current efforts concentrate on integrating artificial intelligence, particularly deep reinforcement learning, graph neural networks, and large language models, to improve scheduling, root cause analysis of productivity losses, and real-time control. These advancements aim to create more autonomous, adaptable, and resilient manufacturing systems, impacting both industrial productivity and the development of novel AI applications in complex, dynamic environments.