Multi-agent deep reinforcement learning-based approach for dynamic flexible assembly job shop scheduling with uncertain processing and transport times
Hao Wang, Wenzheng Lin, Tao Peng, Qinge Xiao, Renzhong Tang
Topics & Concepts
Reinforcement learningComputer scienceScheduling (production processes)Job shopJob shop schedulingIndustrial engineeringArtificial intelligenceDistributed computingFlow shop schedulingOperations researchMathematical optimizationEmbedded systemEngineeringMathematicsRouting (electronic design automation)Scheduling and Optimization AlgorithmsAssembly Line Balancing OptimizationAdvanced Manufacturing and Logistics Optimization