An Integrated Neural Network-Based Traffic Congestion Prediction for Material Handling Systems of Semiconductor Manufacturing

An Integrated Neural Network-Based Traffic Congestion Prediction for Material Handling Systems of Semiconductor Manufacturing

Rapid automated logistics within a factory are essential to maximize productivity. In semiconductor manufacturing, the most important logistics management is the efficient operation of overhead hoist transports (OHTs). To transfer wafers via OHTs without delays, it is necessary to predict short-term...

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Bibliographic Details
Main Authors: Donghun Lee, Suhee Kim, Hoonseok Park, Haejoong Kim, Ri Choe, Younkook Kang, Jae-Yoon Jung, Kwanho Kim
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Integrated neural networks
short-term traffic congestion prediction
semiconductor fabrication
sustainable operation
Online Access:https://ieeexplore.ieee.org/document/11071687/
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