Dynamic Job Shop Scheduling Based on Order Remaining Completion Time Prediction. - Hao Wang 133; Tao Peng 012; Alexandra Brintrup; Thorsten Wuest; Renzhong Tang (APMS (2), 2022)

Dynamic inventory replenishment strategy for aerospace manufacturing supply chain: combining reinforcement learning and multi-agent simulation. - Hao Wang 133; Jiaqi Tao; Tao Peng 012; Alexandra Brintrup; Edward Elson Kosasih; Yuqian Lu; Renzhong Tang; Luoke Hu (Int. J. Prod. Res., 2022)

An integrated simulation-optimization method for flexible assembly job shop scheduling with lot streaming and finite transport resources. - Hao Wang 133; Tao Peng 012; Xinyu Li; Junke He; Weipeng Liu; Renzhong Tang (Comput. Ind. Eng., 2025)

Multi-agent deep reinforcement learning-based approach for dynamic flexible assembly job shop scheduling with uncertain processing and transport times. - Hao Wang 133; Wenzheng Lin; Tao Peng 012; Qinge Xiao; Renzhong Tang (Expert Syst. Appl., 2025)