A DRL-Based Reactive Scheduling Policy for Flexible Job Shops With Random Job Arrivals-Reference-Cited by-同舟云学术

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A DRL-Based Reactive Scheduling Policy for Flexible Job Shops With Random Job Arrivals

Published:2023 Issue: Volume: Page:1-12
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Zhao Linlin¹,Fan Jiaxin¹^ORCID,Zhang Chunjiang¹^ORCID,Shen Weiming¹^ORCID,Zhuang Jing²

Affiliation:

1. State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China

2. Singapore Institute of Manufacturing Technology, Agency of Science, Technology and Research (A*STAR), Singapore S

Funder

National Natural Science Foundation of China

1st Agency of Science, Technology and Research Career Development

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/8856/4358066/10123416.pdf?arnumber=10123416

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1. Multi-agent deep reinforcement learning for dynamic reconfigurable shop scheduling considering batch processing and worker cooperation;Robotics and Computer-Integrated Manufacturing;2025-02

2. An incremental learning approach to dynamic parallel machine scheduling with sequence-dependent setups and machine eligibility restrictions;Applied Soft Computing;2024-10

3. Real-time scheduling for two-stage assembly flowshop with dynamic job arrivals by deep reinforcement learning;Advanced Engineering Informatics;2024-10

4. A parallelized environmental-sensing and multi-tasks model for intelligent marine structure control in ocean waves coupling deep reinforcement learning and computational fluid dynamics;Physics of Fluids;2024-08-01

5. Flexible job shop machines and AGVs cooperative scheduling on the basis of DQN algorithm;2024 IEEE 6th Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC);2024-05-24

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