ArticleOpen Access http://dx.doi.org/10.26855/ea.2026.09.010
Research on Scalable Freight Data Integration and Consistency Guarantee Mechanisms for Supply Chain Resilience
Haoran Xin
College of Computing, Georgia Institute of Technology, Atlanta, GA 30332, USA.
*Corresponding author: Haoran Xin
Published: July 24, 2026
Abstract
Freight networks involving multiple carriers, nodes, and transportation modes require continuous, reliable, and scalable data infrastructure to support supply chain visibility and resilience. However, fragmented freight interfaces, missing event states, inconsistent semantic definitions, event-order conflicts, and delayed anomaly detection can reduce the accuracy of transportation scheduling, capacity allocation, disruption warning, and recovery assessment. To address these challenges, this paper proposes an event-driven freight data integration and consistency assurance framework based on multi-source event ingestion, unified semantic encoding, stream-batch collaborative processing, master data mapping, time-series conflict detection, and closed-loop state write-back. In anonymized test scenarios covering 100,000 freight events, 12 carriers, and four transportation modes, the proposed mechanism increased event completeness from 89.6% to 98.1%, reduced the status conflict rate from 7.8% to 1.3%, shortened average status latency from 46 minutes to 4 minutes, and compressed exception recognition time from 126 minutes to 12 minutes. These results demonstrate that scalable freight data integration and consistency assurance can provide reliable data infrastructure for real-time supply chain visibility, disruption response, route correction, and operational resilience.
Keyword
Supply chain resilience; freight data integration; event-driven data processing; data consistency assurance; stream-batch processing; supply chain visibility
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Copyright
© 2026 by the author(s).
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND) license, which permits non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited and is not modified or adapted.
https://creativecommons.org/licenses/by-nc-nd/4.0/
How to cite this paper
Research on Scalable Freight Data Integration and Consistency Guarantee Mechanisms for Supply Chain Resilience
How to cite this paper: Haoran Xin. (2026). Research on Scalable Freight Data Integration and Consistency Guarantee Mechanisms for Supply Chain Resilience. Engineering Advances, 6(3), 182-186.
DOI: http://dx.doi.org/10.26855/ea.2026.09.010