Federated deep reinforcement learning for dynamic job scheduling in cloud-edge collaborative manufacturing systems
Year of publication: |
2024
|
---|---|
Authors: | Wang, Xiaohan ; Zhang, Lin ; Wang, Lihui ; Wang, Xi Vincent ; Liu, Yongkui |
Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 62.2024, 21, p. 7743-7762
|
Subject: | innovation and infrastructure | cloud manufacturing | cloud-edge collaboration | Dynamic scheduling | federated deep reinforcement learning | intelligent decision-making | SDG 9: Industry | Scheduling-Verfahren | Scheduling problem | Produktionssystem | Manufacturing system | Algorithmus | Algorithm | Lernen | Learning |
-
Wang, Xiaohan, (2024)
-
Mechaacha, Abdelkader, (2025)
-
Intelligent scheduling and reconfiguration via deep reinforcement learning in smart manufacturing
Yang, Shengluo, (2022)
- More ...
-
Scheduling in cloud manufacturing : state-of-the-art and research challenges
Liu, Yongkui, (2019)
-
Wang, Xiaohan, (2024)
-
Function block-enabled operation planning and machine control in Cloud-DPP
Givehchi, Mohammad, (2023)
- More ...