Modelling of Bio-inspired Manufacturing System. - Dunbing Tang; Lei Wang; Wenbin Gu; Weidong Yuan; Dingshan Tang (DET, 2009)

A Novel Bio-Inspired Approach for Adaptive Manufacturing System Control. - Wenbin Gu; Dunbing Tang; Lei Wang (CE, 2010)

RFID applications in automotive Assembly line equipped with friction drive conveyors. - Dunbing Tang; Renmiao Zhu; Wenbin Gu; Kun Zheng (CSCWD, 2011)

Pheromone-based coordination for manufacturing system control. - Lei Wang; Dunbing Tang; Wenbin Gu; Kun Zheng; Weidong Yuan; Dingshan Tang (J. Intell. Manuf., 2012)

Distributed control of multi-AGV system based on regional control model. - Kun Zheng; Dunbing Tang; Wenbin Gu; Min Dai (Prod. Eng., 2013)

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)

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)

The Bearings Fault Diagnosis Method Based on WT-WDCNN for Salt Industry Transportation. - Lianshui Duan; Wenbin Gu; Siqi Liu; Yikai Zhan; Jinkang Liu (ICBASE, 2023)

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)

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)

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)