Real-time scheduling for a smart factory using a reinforcement learning approach

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Deep Reinforcement Learning for Improving Positional Accuracy of Hydraulic Forklift on Automatic Loading Equipment

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Real-time production scheduling using a deep reinforcement learning-based multi-agent approach

Taghipour, S., Namoura, H. A., Sharifi, M., & Ghaleb, M. A. (2024) · INFOR Information Systems and Operational Research · doi:10.1080/03155986.2023.2287996 · Cited by 12

Research on a Real-time Job-shop Scheduling Method Based on Reinforcement Learning

Zhu, H., Gui, Y., Xu, H., Tao, S., & Zheng, K. (2022) · Journal of Physics Conference Series · doi:10.1088/1742-6596/2402/1/012016 · Cited by 1

A Reinforcement Learning-based Approach to Dynamic Job-shop Scheduling

Wei, Y. Z., & Zhao, M. Y. (2005) · SIA OpenIR (Chinese Academy of Sciences) · Cited by 24

The study of real time scheduling by an intelligent multi-controller approach

Guh, R., Shiue, Y.-R., & Tseng, T.-Y. (2010) · International Journal of Production Research · doi:10.1080/00207541003794884 · Cited by 29

Using real-time manufacturing data to schedule a smart factory via reinforcement learning

Gu, W., Li, Y., Tang, D., Wang, X., & Yuan, M. (2022) · Computers & Industrial Engineering · doi:10.1016/j.cie.2022.108406 · Cited by 29