A Deep-Reinforcement-Learning-Based Digital Twin for Manufacturing Process Optimization

A Deep-Reinforcement-Learning-Based Digital Twin for Manufacturing Process Optimization

In the context of Industry 4.0 and smart manufacturing, production factories are increasingly focusing on process optimization, high product customization, quality improvement, cost reduction, and energy saving by implementing a new type of digital solutions that are mainly driven by Internet of Thi...

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Bibliographic Details
Main Authors: Abdelmoula Khdoudi, Tawfik Masrour, Ibtissam El Hassani, Choumicha El Mazgualdi
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Systems
Subjects:
digital twin
smart manufacturing
deep reinforcement learning
twin delayed DDPG algorithm
PPO algorithm
manufacturing process optimization
Online Access:https://www.mdpi.com/2079-8954/12/2/38

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https://www.mdpi.com/2079-8954/12/2/38

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