Multi-agent deep reinforcement learning for low-carbon flexible job shop scheduling with variable sublots

As manufacturing shifts toward greener and more intelligent paradigms, traditional scheduling approaches are increasingly inadequate for meeting both operational efficiency and sustainability demands. The Low-Carbon Flexible Job Shop Scheduling Problem with Variable Sublots (LC-FJSP-VS) introduces significant complexity due to the need to simultaneously coordinate sublot sizing, machine selection, and carbon-aware objectives under dynamic …