Preference-guided graph reinforcement learning for multi-objective quality-aware hybrid flow shop scheduling with multilevel assembly
Product quality is crucial to the competitiveness of manufacturing enterprises. However, existing quality-aware scheduling studies mainly approximate product quality evolution using indirect factors such as processing time, making it difficult to characterize the integrated effects of equipment health conditions and op...