Solving task scheduling problems in cloud manufacturing via attention mechanism and deep reinforcement learning

Xiaohan Wang; Zhang Li; Yongkui Liu; Chun Zhao; Kunyu Wang

doi:10.1016/j.jmsy.2022.08.013

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JOURNAL ARTICLE

Solving task scheduling problems in cloud manufacturing via attention mechanism and deep reinforcement learning

Xiaohan Wang Zhang Li Yongkui Liu Chun Zhao Kunyu Wang

Year: 2022 Journal: Journal of Manufacturing Systems Vol: 65 Pages: 452-468 Publisher: Elsevier BV

DOI: 10.1016/j.jmsy.2022.08.013

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Keywords:

Computer science Reinforcement learning Cloud computing Scheduling (production processes) Distributed computing Suite Dynamic priority scheduling Scalability Fair-share scheduling Two-level scheduling Job shop scheduling Cloud manufacturing Artificial intelligence Engineering Quality of service Computer network Operations management Database

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Topics

Digital Transformation in Industry

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Scheduling and Optimization Algorithms

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Solving task scheduling problems in cloud manufacturing via attention mechanism and deep reinforcement learning

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Citation History

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