Reinforcement Learning With Composite Rewards for Production Scheduling in a Smart Factory

Reinforcement Learning With Composite Rewards for Production Scheduling in a Smart Factory

Rapid advances of sensing and cloud technologies transform the manufacturing system into a data-rich environment and make production scheduling increasingly complex. Traditional offline scheduling methods are limited in the ability to handle low-volume-high-mix workorders with diverse design specifi...

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Bibliographic Details
Main Authors: Tong Zhou, Dunbing Tang, Haihua Zhu, Liping Wang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Production scheduling
reinforcement learning
composite reward
smart factory
neural network
Online Access:https://ieeexplore.ieee.org/document/9305707/

Internet

https://ieeexplore.ieee.org/document/9305707/

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