Deep Reinforcement Learning-Based Dynamic Reconfiguration Planning for Digital Twin-Driven Smart Manufacturing Systems With Reconfigurable Machine Tools-Reference-Cited by-同舟云学术

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Deep Reinforcement Learning-Based Dynamic Reconfiguration Planning for Digital Twin-Driven Smart Manufacturing Systems With Reconfigurable Machine Tools

Published:2024 Issue: Volume: Page:1-12
ISSN:1551-3203
Container-title:IEEE Transactions on Industrial Informatics
language:
Short-container-title:IEEE Trans. Ind. Inf.

Author:

Huang Jintang¹,Huang Sihan¹^ORCID,Moghaddam Shokraneh K.²,Lu Yuqian³^ORCID,Wang Guoxin¹^ORCID,Yan Yan¹^ORCID,Shi Xuejiang⁴

Affiliation:

1. School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China

2. School of Physics, Engineering, and Computer Science, University of Hertfordshire, Hatfield, U.K.

3. Department of Mechanical and Mechatronics Engineering, The University of Auckland, Auckland, New Zealand

4. Hongyun Honghe Tobacco Group, Kunming, China

Funder

Beijing Institute of Technology Research Fund Program for Young Scholars

Beijing Natural Science Foundation

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/9424/4389054/10614748.pdf?arnumber=10614748

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