An improved deep reinforcement learning-based scheduling approach for dynamic task scheduling in cloud manufacturing-Reference-Cited by-同舟云学术

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An improved deep reinforcement learning-based scheduling approach for dynamic task scheduling in cloud manufacturing

Published:2023-09-07 Issue: Volume: Page:1-17
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Wang Xiaohan¹,Zhang Lin¹²,Liu Yongkui³^ORCID,Laili Yuanjun¹⁴

Affiliation:

1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, People's Republic of China

2. State Key Laboratory of Intelligent Manufacturing System Technology, Beijing, People's Republic of China

3. School of Mechano-Electronic Engineering, Xidian University, Xi'an, People's Republic of China

4. Zhongguancun Laboratory, Beijing, People's Republic of China

Funder

National Natural Science Foundation of China

Beihang University

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2023.2253326

Reference41 articles.

1. Transaction selection policy in tier-to-tier SBSRS by using Deep Q-Learning

2. Analytics and machine learning in vehicle routing research

3. Task scheduling based on deep reinforcement learning in a cloud manufacturing environment

4. Workflow scheduling based on deep reinforcement learning in the cloud environment

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An efficient cloud manufacturing service composition approach using deep reinforcement learning;Computers & Industrial Engineering;2024-09

2. Deep Reinforcement Learning and Discrete Simulation-Based Digital Twin for Cyber–Physical Production Systems;Applied Sciences;2024-06-14

3. Federated deep reinforcement learning for dynamic job scheduling in cloud-edge collaborative manufacturing systems;International Journal of Production Research;2024-03-15

4. The capacity matching problem of the third-party shared manufacturing platform with capacity time windows and order splitting;International Journal of Production Research;2024-02-02

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