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The role of deep learning in supply chain collaboration and cooperation


Citation

Cai, Junjie and Sharkawi, Ismawati and Taasim, Shairil Izwan (2024) The role of deep learning in supply chain collaboration and cooperation. Journal of Organizational and End User Computing, 36 (1). pp. 1-23. ISSN 1546-2234; eISSN: 1546-5012

Abstract

In today’s globalized and technologically advanced business landscape, supply chain collaboration is crucial for enterprises seeking to gain a competitive edge, enhance operational efficiency, and adapt to market dynamics. Traditional methods often fall short in managing the complexities and rapid changes within supply chains. This study introduces an innovative deep learning model, combining BERT, GAT, and RL, to address these challenges effectively. The model demonstrates its prowess in processing supply chain data, accurately predicting market trends, and optimizing decision-making processes. By leveraging deep learning, this research not only expands theoretical applications in supply chain management but also provides practical tools to boost operational efficiency, highlighting the immense potential and practical value of deep learning technology in modern supply chain management.


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Additional Metadata

Item Type: Article
Divisions: UPM Kampus Bintulu
DOI Number: https://doi.org/10.4018/JOEUC.342841
Publisher: IGI Global
Keywords: BERT; Deep Learning; GAT; RL; Supply Chain
Depositing User: Mr. Mohamad Syahrul Nizam Md Ishak
Date Deposited: 22 Nov 2024 08:35
Last Modified: 22 Nov 2024 08:35
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.4018/JOEUC.342841
URI: http://psasir.upm.edu.my/id/eprint/113413
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