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Area of Science:

  • Industrial Engineering
  • Human Factors Engineering
  • Risk Management

Background:

  • Human reliability analysis (HRA) is critical for organizational safety.
  • Existing HRA tools often overlook the impact of human factors on error causation.
  • Understanding worker influence on performance is key to identifying error causes and preventions.

Purpose of the Study:

  • To present a novel methodology for assessing human reliability.
  • To integrate human factors as crucial safety barriers within HRA.
  • To enhance the accuracy of human error probability assessments.

Main Methods:

  • Developed a unified framework integrating established HRA methods (SPAR-H, HEART).
  • Incorporated human factors as integral components of the reliability assessment.
  • Validated the methodology through a case study in an energy company's logistics hub.

Main Results:

  • The new methodology effectively incorporates human factors into HRA.
  • Human factors were demonstrated to significantly reduce human error probability.
  • The study confirmed the role of human factors in preventing task-related errors.

Conclusions:

  • The proposed HRA methodology provides a more comprehensive assessment by including human factors.
  • Human factors act as effective safety barriers, mitigating human error.
  • This approach offers improved insights into managing human reliability in operational settings.