Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning
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DOI: 10.1007/s10845-023-02161-w
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- Teofilo Gonzalez & Sartaj Sahni, 1978. "Flowshop and Jobshop Schedules: Complexity and Approximation," Operations Research, INFORMS, vol. 26(1), pages 36-52, February.
- Yu-Fang Wang, 2020. "Adaptive job shop scheduling strategy based on weighted Q-learning algorithm," Journal of Intelligent Manufacturing, Springer, vol. 31(2), pages 417-432, February.
- Renke Liu & Rajesh Piplani & Carlos Toro, 2022. "Deep reinforcement learning for dynamic scheduling of a flexible job shop," International Journal of Production Research, Taylor & Francis Journals, vol. 60(13), pages 4049-4069, July.
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- Andreas Kuhnle & Jan-Philipp Kaiser & Felix Theiß & Nicole Stricker & Gisela Lanza, 2021. "Designing an adaptive production control system using reinforcement learning," Journal of Intelligent Manufacturing, Springer, vol. 32(3), pages 855-876, March.
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Keywords
Job shop scheduling; Proximal policy optimization; Discrete event simulation; Deep reinforcement learning; Dynamic;All these keywords.
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