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An inter-method comparison of four Human Reliability Assessment models.

Azin Setayesh1, Valentina Di Pasquale2, W Patrick Neumann1

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Applied Ergonomics
|April 9, 2022
PubMed
Summary

This study compares four Human Reliability Assessment (HRA) models, finding a need for clearer guidelines on Performance Influencing Factors (PIFs) and risk allocation for better accuracy in diverse industrial settings.

Keywords:
ErgonomicsHuman errorHuman error probabilityHuman factorsPerformance shaping factors

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Area of Science:

  • Industrial Engineering
  • Risk Management
  • Human Factors Engineering

Background:

  • Human Reliability Assessment (HRA) models are crucial for safety in high-risk industries.
  • Existing HRA models exhibit variations in input parameters and calculation methods.
  • A lack of standardized guidelines for Performance Influencing Factors (PIFs) complicates model application.

Purpose of the Study:

  • To compare four common Human Reliability Assessment (HRA) models.
  • To analyze model sensitivity to changes in Performance Influencing Factors (PIFs).
  • To identify limitations and areas for improvement in current HRA methodologies.

Main Methods:

  • A scoping literature review of 72 studies was conducted.
  • Sensitivity analysis, including One Factor At a Time (OFAT) and combined analyses, was performed.
  • The response of HRA models to systematic changes in PIF risk levels was examined.

Main Results:

  • Significant variation in Human Error Probability (HEP) was observed based on PIF levels, ranging from 9% to 94% in OFAT analysis.
  • Combined analysis showed median HEP values of 97% for high PIF risk and 1% for low PIF risk.
  • No studies were found validating HRA models in low-risk domains like manual assembly.

Conclusions:

  • Current HRA models require clearer guidelines for PIF selection and risk level allocation.
  • HRA models are often disconnected from system design, hindering improvement efforts.
  • Future research should integrate error assessment with system design and explore new HRA model features for enhanced reliability and validity.