Product lifecycle oriented digitization agile process preparation system. - Yifei Tong; Dongbo Li; Minghai Yuan (Comput. Ind., 2008)

Manufacturing Resource Modeling for Cloud Manufacturing. - Minghai Yuan; Kun Deng; W. Art Chaovalitwongse (Int. J. Intell. Syst., 2017)

Multi-objective optimal scheduling of reconfigurable assembly line for cloud manufacturing. - Minghai Yuan; Kun Deng; W. Art Chaovalitwongse; Shuo Cheng (Optim. Methods Softw., 2017)

Reconfigurable assembly line balancing for cloud manufacturing. - Minghai Yuan; Hongyan Yu; Jinting Huang; Aimin Ji (J. Intell. Manuf., 2019)

Service composition model and method in cloud manufacturing. - Minghai Yuan; Zhuo Zhou; Xianxian Cai; Chao Sun; Wenbin Gu (Robotics Comput. Integr. Manuf., 2020)

Dynamic service resources scheduling method in cloud manufacturing environment. - Minghai Yuan; Xianxian Cai; Zhuo Zhou; Chao Sun; Wenbin Gu; Jinting Huang (Int. J. Prod. Res., 2021)

Research on intelligent workshop resource scheduling method based on improved NSGA-II algorithm. - Minghai Yuan; Yadong Li; Lizhi Zhang; Fengque Pei (Robotics Comput. Integr. Manuf., 2021)

Using real-time manufacturing data to schedule a smart factory via reinforcement learning. - Wenbin Gu; Yuxin Li; Dunbing Tang; Xianliang Wang; Minghai Yuan (Comput. Ind. Eng., 2022)

Real-time data-driven dynamic scheduling for flexible job shop with insufficient transportation resources using hybrid deep Q network. - Yuxin Li; Wenbin Gu; Minghai Yuan; Yaming Tang (Robotics Comput. Integr. Manuf., 2022)

A multi-agent double Deep-Q-network based on state machine and event stream for flexible job shop scheduling problem. - Minghai Yuan; Hanyu Huang; Zichen Li; Chenxi Zhang; Fengque Pei; Wenbin Gu (Adv. Eng. Informatics, 2023)

Research on real-time prediction of completion time based on AE-CNN-LSTM. - Minghai Yuan; Zichen Li; Chenxi Zhang; Liang Zheng; Kefu Mao; Fengque Pei (Comput. Ind. Eng., 2023)

Dynamic scheduling mechanism for intelligent workshop with deep reinforcement learning method based on multi-agent system architecture. - Wenbin Gu; Siqi Liu; Zhenyang Guo; Minghai Yuan; Fengque Pei (Comput. Ind. Eng., 2024)

Research on optimal path sampling algorithm of manipulator based on potential function. - Rui Shu; Minghai Yuan; Zhenyu Liang; Yingjie Sun; Fengque Pei (Int. J. Intell. Robotics Appl., 2024)

Deep reinforcement learning based proximal policy optimization algorithm for dynamic job shop scheduling. - Minghai Yuan; Qi Yu; Lizhi Zhang; Songwei Lu; Zichen Li; Fengque Pei (Comput. Oper. Res., 2025)

Distributed heterogeneous flexible job-shop scheduling problem considering automated guided vehicle transportation via improved deep Q network. - Minghai Yuan; Songwei Lu; Liang Zheng; Qi Yu; Fengque Pei; Wenbin Gu (Swarm Evol. Comput., 2025)

Multi-objective energy-efficient scheduling of distributed heterogeneous hybrid flow shops via multi-agent double deep Q-Network. - Minghai Yuan; Yang Ye; Hanyu Huang; Zhen Zhang; Fengque Pei; Wenbin Gu (Swarm Evol. Comput., 2025)

Research on flexible job shop scheduling problem with AGV using double DQN. - Minghai Yuan; Liang Zheng; Hanyu Huang; Kaiwen Zhou; Fengque Pei; Wenbin Gu (J. Intell. Manuf., 2025)

Research on AGV path planning in flexible job-shop scheduling problem based on multi-agent deep Q network. - Minghai Yuan; Songwei Lu; Liang Zheng; Qi Yu; Fengque Pei; Wenbin Gu (Intell. Serv. Robotics, 2025)

Hierarchical agent architecture-based large-scale AGV cluster real-time motion collaboration control in dynamic and complex production environments. - Zhuo Zhou; Liyun Xu; Liqiang Liao; Minghai Yuan; Gang Shang; Zhun Xu (Expert Syst. Appl., 2026)