Improved Q-learning for Integrated Process Planning and Scheduling in Manufacturing

Imagine a smart factory planner that learns by trial and error how to best route each job through machines and schedule them, a bit like a self-learning traffic controller that keeps adjusting signals to reduce jams and delays.