The Role of Deep Learning in Supply Chain Collaboration and Cooperation

被引:0
|
作者
Cai, Junjie [1 ]
Sharkawi, Ismawati [1 ]
Taasim, Shairil Izwan [1 ]
机构
[1] Univ Putra Malaysia, Bintulu, Malaysia
关键词
BERT; Deep Learning; GAT; RL; Supply Chain; MODEL; CNN;
D O I
10.4018/JOEUC.342841
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:23
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