Shared Cognition Based Integration Dynamic Scheduling Method

TA126 solve the job shop dynamic scheduling problem with disruptions, an integrated dynamic scheduling method based on shared mental models is proposed in this paper. Each manufacturing unit in the workshop is mapped into an intelligent agent with the individual mental model for the specific scheduling scenarios. After disturbance occurs, the Q-learning reinforcement learning method is adopted to achieve conflict resolution and consensus consultation among agents, and produce the globally optimized scheduling scheme.