Petri-net-based deep reinforcement learning for real-time scheduling of automated manufacturing systems-Reference-Cited by-同舟云学术

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Petri-net-based deep reinforcement learning for real-time scheduling of automated manufacturing systems

Published:2024-06 Issue: Volume:74 Page:995-1008
ISSN:0278-6125
Container-title:Journal of Manufacturing Systems
language:en
Short-container-title:Journal of Manufacturing Systems

Author:

Luo Jiliang^ORCID,Yi Sijia^ORCID,Lin Zexuan,Zhang Hongbin,Zhou Jiazhong

Publisher

Elsevier BV

Reference47 articles.

1. Industry 4.0: Smart scheduling;Rossit;Int J Prod Res,2019

2. A decision-making framework model for evaluating flexible manufacturing systems using digraph and matrix methods;Rao;Int J Adv Manuf Technol,2006

3. A critical investigation of Industry 4.0 in manufacturing: Theoretical operationalisation framework;Fatorachian;Prod Plan Control,2018

4. Industry 4.0: Contributions of holonic manufacturing control architectures and future challenges;Derigent;J Intell Manuf,2021

5. The evolution of production systems from Industry 2.0 through Industry 4.0;Yin;Int J Prod Res,2018

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