Logistics 4.0 By Integrating Artificial Intelligence for Real-Time Decision-Making in Supply Chain Management

In the era of Logistics 4.0, the combination of Artificial Intelligence (AI) has emerged as a transformative force in optimizing Supply Chain Management (SCM). This study addresses the critical need for real-time decision-making in SCM by proposing the utilization of Backpropagation Neural Network (...

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Bibliographic Details
Main Authors: Veerapaneni, Madhu Latha, Tamilselvan, P, Mercy, Masereka, Sandeep, Jakka. Sai Siva, Amrutha, Mandala Kusuma, Manda, Rabecca
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Artificial intelligence
BPNN
Complexity theory
Decision making
Force
Logistics 4.0
Neural networks
Power supplies
Real-time Decision-making
Real-time systems
Supply chain management
Supply chains
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Summary:In the era of Logistics 4.0, the combination of Artificial Intelligence (AI) has emerged as a transformative force in optimizing Supply Chain Management (SCM). This study addresses the critical need for real-time decision-making in SCM by proposing the utilization of Backpropagation Neural Network (BPNN) within the Logistics 4.0 framework. The growing complexity and dynamism of supply chains pose challenges in timely decision-making, necessitating intelligent solutions. The research identifies a significant gap in current SCM practices, where traditional decision-making processes often struggle to cope with the speed and volume of data generated in the digitalized supply chain area. Results will be evaluated based on the model effectiveness in improving decision accuracy, speed, and adaptability to dynamic supply chain scenarios.
ISSN:2469-5556
DOI:10.1109/ICACCS60874.2024.10717045