Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)

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Supply Chain Management for Multi-Modal Visibility of Coal Transportation Using Real Time Data Visualization

Authors
Aayush Kumar Pandey1, *, Ankit Tigga1, Arshad Ali1, Yogesh Kumar Rathore2
1U.G. Student, Department of Computer Science & Engineering, SSIPMT College, Raipur, India
2Assistant Professor, Department of Computer & Engineering, SSIPMT College, Raipur, India
*Corresponding author. Email: aayush.pandey21@ssipmt.com
Corresponding Author
Aayush Kumar Pandey
Available Online 22 June 2025.
DOI
10.2991/978-94-6463-738-0_28How to use a DOI?
Keywords
Coal transportation; Supply chain management; Unified digital platform; Multi-modal integration; Real-time data visualization; Live GPS tracking; Efficiency improvement; Transparency
Abstract

Coal transportation involves a complex network of systems, including trucks, trains, and ships, where inefficiencies arise due to fragmented processes and lack of integration. This study introduces a unified digital platform leveraging supply chain management principles to address these challenges. The platform incorporates key features such as real-time GPS tracking, multi-modal integration, centralized data visualization, and advanced analytics to enhance operational efficiency, reduce costs, and improve transparency across stakeholders. A robust implementation framework outlines steps for data integration, optimization models, and visualization dashboards, ensuring scalability and effective adoption. By streamlining transportation processes and mitigating bottlenecks, the proposed solution offers a transformative approach to coal logistics, paving the way for future advancements in blockchain and AI-driven optimization. The research highlights the significant potential of digital transformation in creating sustainable and efficient coal transportation systems.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
Series
Advances in Intelligent Systems Research
Publication Date
22 June 2025
ISBN
978-94-6463-738-0
ISSN
1951-6851
DOI
10.2991/978-94-6463-738-0_28How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Aayush Kumar Pandey
AU  - Ankit Tigga
AU  - Arshad Ali
AU  - Yogesh Kumar Rathore
PY  - 2025
DA  - 2025/06/22
TI  - Supply Chain Management for Multi-Modal Visibility of Coal Transportation Using Real Time Data Visualization
BT  - Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
PB  - Atlantis Press
SP  - 335
EP  - 344
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-738-0_28
DO  - 10.2991/978-94-6463-738-0_28
ID  - Pandey2025
ER  -