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The integrated data-driven and graph technology-based network analysis method for abnormal states and risk in automated container terminals operations

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  • Zixin Wang
  • Qingcheng Zeng
  • Xingnan Zhang

Abstract

Automated container terminals (ACTs) are critical to the global supply chain, enhancing efficiency but facing substantial challenges from complex environments and equipment. This study introduces a framework combining data-driven and graph technologies to analyse ACT anomalies and risks. Data from various sources are processed to ensure accuracy, using BERT and BiLSTM for entity and relation extraction and Neo4j for constructing a coupled network. The framework identifies anomalous events and assesses their risk impacts, revealing intrinsic links between anomalies and risks. The research suggests improvements for risk management strategies in the current ACT operating environment, offering new theoretical insights and practical methods for enhancing operational stability and safety. [Submitted: 29 October 2024; Accepted: 23 April 2025]

Suggested Citation

  • Zixin Wang & Qingcheng Zeng & Xingnan Zhang, 2026. "The integrated data-driven and graph technology-based network analysis method for abnormal states and risk in automated container terminals operations," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 21(3/4), pages 472-499.
    • Handle: RePEc:ids:eujine:v:21:y:2026:i:3/4:p:472-499
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