Solving Flexible Job-Shop Scheduling Problem with Heterogeneous Graph Neural Network Based on Relation and Deep Reinforcement Learning

Driven by the rise of intelligent manufacturing and Industry 4.0, the manufacturing industry faces significant challenges in adapting to flexible and efficient production methods. This study presents an innovative approach to solving the Flexible Job-Shop Scheduling Problem (FJSP) by integrating Het...

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Bibliographic Details

Published in:	Machines
Main Authors:	Hengliang Tang, Jinda Dong
Format:	Article
Language:	English
Published:	MDPI AG 2024-08-01
Subjects:	deep reinforcement learning flexible job-shop scheduling problem heterogeneous graph neural network manufacturing job-shop scheduling
Online Access:	https://www.mdpi.com/2075-1702/12/8/584