Predictive optimization in automotive supply chains: a BiLSTM-Attention and reinforcement learning approach

Predictive optimization in automotive supply chains: a BiLSTM-Attention and reinforcement learning approach

Effective supply chain management is pivotal for enhancing customer satisfaction and driving competitiveness and profitability in the automotive service and spare parts distribution sector. Our research introduces an innovative approach, integrating game theory, BiLSTM-Attention deep learning, and R...

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Bibliographic Details
Main Authors: Asmae Amellal, Issam Amellal, Mohammed Rida Ech-charrat, Hamid Seghiouer
Format: Article
Language:English
Published: Universitas Ahmad Dahlan 2024-08-01
Series:IJAIN (International Journal of Advances in Intelligent Informatics)
Subjects:
supply chain management
bilstm-attention model
reinforcement learning
game theory
decision making
Online Access:https://ijain.org/index.php/IJAIN/article/view/1351
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