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Related Experiment Videos

The accident evolution and barrier function (AEB) model applied to incident analysis in the processing industries.

O Svenson1

  • 1Lund University Braettnev II, Enskede, Sweden.

Risk Analysis : an Official Publication of the Society for Risk Analysis
|September 1, 1991
PubMed
Summary

This study introduces a new theoretical model for analyzing accident evolution, integrating technical and human factors for enhanced safety analysis. The model aids in predicting and understanding incidents to improve safety measures effectively.

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Area of Science:

  • Systems Engineering
  • Human Factors Engineering
  • Accident Analysis

Background:

  • Accidents often result from complex interactions between technical systems and human-organizational factors.
  • Existing analytical tools may not adequately address the interplay between these systems.
  • A comprehensive approach is needed for effective safety analysis.

Purpose of the Study:

  • To develop a theoretical model for understanding accident evolution and developing strategies for accident arrest.
  • To create an analytical tool that integrates technical and human-organizational system analysis.
  • To provide a framework for both predictive safety assessments and post-hoc incident reviews.

Main Methods:

  • Development of a theoretical model (Accident Evolution and Arrest - AEA model) focusing on system interactions.

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  • Equitable weighting of technical and human-organizational factors in the analysis.
  • Application of the AEA model to a real-world incident in the Swedish nuclear industry.

    • Main Results:

    • The AEA model provides a unified framework for analyzing accident causation.
    • The model facilitates a simultaneous and interactive analysis involving engineers and human factors specialists.
    • Case study application demonstrated the model's utility in identifying areas for safety improvement.

    Conclusions:

    • The AEA model offers a valuable tool for enhancing safety through integrated analysis of technical and human factors.
    • The model's application can guide decisions on the cost, feasibility, and effectiveness of safety interventions.
    • This approach supports proactive risk management and thorough incident investigation.