Dynamic job shop scheduling based on deep reinforcement learning for multi-agent manufacturing systems

Yi Zhang; Haihua Zhu; Dunbing Tang; Tong Zhou; Yong Gui

doi:10.1016/j.rcim.2022.102412

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Dynamic job shop scheduling based on deep reinforcement learning for multi-agent manufacturing systems

Yi Zhang Haihua Zhu Dunbing Tang Tong Zhou Yong Gui

Year: 2022 Journal: Robotics and Computer-Integrated Manufacturing Vol: 78 Pages: 102412-102412 Publisher: Elsevier BV

DOI: 10.1016/j.rcim.2022.102412

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Keywords:

Reinforcement learning Computer science Testbed Scheduling (production processes) Artificial intelligence Job shop Job shop scheduling Distributed computing Industrial engineering Operations research Machine learning Flow shop scheduling Engineering Operations management

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Scheduling and Optimization Algorithms

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Digital Transformation in Industry

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Assembly Line Balancing Optimization

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Dynamic job shop scheduling based on deep reinforcement learning for multi-agent manufacturing systems

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Citation History

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