Wenbin Gu
Orcid: 0000-0001-5918-8800
According to our database1,
Wenbin Gu authored at least 22 papers
between 2009 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Integrated process planning and scheduling considering automated guided vehicles with an improved deep Q network method.
Eng. Appl. Artif. Intell., 2026
A deep reinforcement learning approach for dynamic job-shop scheduling problem considering time variable and new job arrivals.
Comput. Oper. Res., 2026
Real-Time scheduling for hybrid flow shop with operation skipping and sequence-dependent setup times in brine salt production.
Comput. Ind. Eng., 2026
Large language model-empowered dynamic scheduling for intelligent hybrid flow shop using multi-agent deep reinforcement learning.
Adv. Eng. Informatics, 2026
2025
Research on AGV path planning in flexible job-shop scheduling problem based on multi-agent deep Q network.
Intell. Serv. Robotics, May, 2025
J. Intell. Manuf., January, 2025
Green flexible job-shop scheduling considering transportation time and machine multi-rotation speeds.
Swarm Evol. Comput., 2025
Multi-objective energy-efficient scheduling of distributed heterogeneous hybrid flow shops via multi-agent double deep Q-Network.
Swarm Evol. Comput., 2025
Distributed heterogeneous flexible job-shop scheduling problem considering automated guided vehicle transportation via improved deep Q network.
Swarm Evol. Comput., 2025
Digital twin-driven real-time collaborative scheduling for U-shaped automated container terminals.
Int. J. Prod. Res., 2025
2024
Dynamic scheduling mechanism for intelligent workshop with deep reinforcement learning method based on multi-agent system architecture.
Comput. Ind. Eng., 2024
2023
A multi-agent double Deep-Q-network based on state machine and event stream for flexible job shop scheduling problem.
Adv. Eng. Informatics, October, 2023
The Bearings Fault Diagnosis Method Based on WT-WDCNN for Salt Industry Transportation.
Proceedings of the 4th International Conference on Big Data & Artificial Intelligence & Software Engineering, 2023
2022
Real-time data-driven dynamic scheduling for flexible job shop with insufficient transportation resources using hybrid deep Q network.
Robotics Comput. Integr. Manuf., 2022
Using real-time manufacturing data to schedule a smart factory via reinforcement learning.
Comput. Ind. Eng., 2022
2021
Int. J. Prod. Res., 2021
2020
Robotics Comput. Integr. Manuf., 2020
2013
Prod. Eng., 2013
2012
J. Intell. Manuf., 2012
2011
RFID applications in automotive Assembly line equipped with friction drive conveyors.
Proceedings of the 2011 15th International Conference on Computer Supported Cooperative Work in Design, 2011
2010
Proceedings of the New World Situation: New Directions in Concurrent Engineering, 2010
2009
Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology, 2009