A Deep Reinforcement Learning Based Scheduling Policy for Reconfigurable Manufacturing Systems

Jiecheng Tang; Konstantinos Salonitis

doi:10.1016/j.procir.2021.09.089

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JOURNAL ARTICLE

A Deep Reinforcement Learning Based Scheduling Policy for Reconfigurable Manufacturing Systems

Jiecheng Tang Konstantinos Salonitis

Year: 2021 Journal: Procedia CIRP Vol: 103 Pages: 1-7 Publisher: Elsevier BV

DOI: 10.1016/j.procir.2021.09.089

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Keywords:

Reinforcement learning Control reconfiguration Scheduling (production processes) Computer science Factory (object-oriented programming) Distributed computing Artificial intelligence Industrial engineering Engineering Embedded system Operations management

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2.57

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0.90

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Topics

Flexible and Reconfigurable Manufacturing Systems

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Scheduling and Optimization Algorithms

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Digital Transformation in Industry

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

A Deep Reinforcement Learning Based Scheduling Policy for Reconfigurable Manufacturing Systems

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Citation History

Topics

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