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Original Articles

Intelligent dynamic control of stochastic economic lot scheduling by agent-based reinforcement learning

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Pages 4381-4395 | Received 12 Oct 2010, Accepted 27 Apr 2011, Published online: 07 Jul 2011

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Wen Song, Nan Mi, Qiqiang Li, Jing Zhuang & Zhiguang Cao. (2024) Stochastic Economic Lot Scheduling via Self-Attention Based Deep Reinforcement Learning. IEEE Transactions on Automation Science and Engineering 21:2, pages 1457-1468.
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Ke Xu, Caixia Ye, Hua Gong & Wenjuan Sun. (2023) Reinforcement Learning-Based Multi-Objective of Two-Stage Blocking Hybrid Flow Shop Scheduling Problem. Processes 12:1, pages 51.
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Andreas Kuhnle, Jan-Philipp Kaiser, Felix Theiß, Nicole Stricker & Gisela Lanza. (2020) Designing an adaptive production control system using reinforcement learning. Journal of Intelligent Manufacturing 32:3, pages 855-876.
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Hossein Jahandideh, Kumar Rajaram & Kevin McCardle. (2020) Production Campaign Planning Under Learning and Decay. Manufacturing & Service Operations Management 22:3, pages 615-632.
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Tianfang Xue, Peng Zeng & Haibin Yu. (2018) A reinforcement learning method for multi-AGV scheduling in manufacturing. A reinforcement learning method for multi-AGV scheduling in manufacturing.
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Yimo Yan, Andy H.F. Chow, Chin Pang Ho, Yong-Hong Kuo, Qihao Wu & Chengshuo Ying. (2021) Reinforcement Learning for Logistics and Supply Chain Management: Methodologies, State of the Art, and Future Opportunities. SSRN Electronic Journal.
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