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DOI: 10.14569/IJACSA.2025.0160122
PDF

Internet of Things (IoT) Driven Logistics Supply Chain Management Coordinated Response Mechanism

Author 1: Chong Li

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 16 Issue 1, 2025.

  • Abstract and Keywords
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Abstract: This study explores the development of an IoT-driven logistics supply chain coordination and response mechanism aimed at achieving real-time information sharing, precise forecasting, and rapid decision-making among supply chain nodes. By employing a hierarchical system construction method, SQL database techniques for data management, and an evaluation model combining AHP and entropy methods, the study proposes a robust framework for improving supply chain efficiency and adaptability. The results demonstrate that IoT technology significantly enhances supply chain transparency, resource allocation, and operational efficiency while reducing risks and costs. The proposed mechanism facilitates dynamic adjustments to market changes and unexpected disruptions, fostering a resilient and collaborative supply chain network. This research provides a foundational basis for the integration of IoT in modern supply chains and offers insights into advancing intelligent logistics systems, with implications for improving global competitiveness in the evolving digital economy.

Keywords: IoT; logistics supply chain; management coordination; response mechanism

Chong Li, “Internet of Things (IoT) Driven Logistics Supply Chain Management Coordinated Response Mechanism” International Journal of Advanced Computer Science and Applications(IJACSA), 16(1), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160122

@article{Li2025,
title = {Internet of Things (IoT) Driven Logistics Supply Chain Management Coordinated Response Mechanism},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160122},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160122},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {1},
author = {Chong Li}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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