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International Journal of Mathematical, Engineering and Management Sciences

ISSN: 2455-7749


Application of Integrated Human Error Management in Human Factors Engineering Process to Nuclear Power Plant Design

Application of Integrated Human Error Management in Human Factors Engineering Process to Nuclear Power Plant Design

Kenji Mashio
ICT Solution Headquarters, Mitsubishi Heavy Industries, Ltd., Kobe, Hyogo, Japan.

Kodo Ito
Department of Engineering, Tottori University, Tottori, Japan.

DOI https://doi.org/10.33889/IJMEMS.2021.6.4.071

Received on January 27, 2021
  ;
Accepted on June 23, 2021

Abstract

Integrated process of human error management in human factors engineering (HFE) process provides a systematic direction for the design countermeasures development to prevent potential human errors. The process analyzes performance influence factors (PIFs) for crew failure modes (CFMs) and human failure events (HFEvs) in human reliability analysis (HRA). This paper provides applications of the process to the event evaluation for nuclear power plant design, especially PWR. In this application, the HRA/HFE integrated process had specified further detail for PIF attributes which had not been obtained in HRA, and showed further investigations to treat how operators induced their human errors through their cognitive task process in their work environment. This application showed effectiveness of the process in order to provide design countermeasures for preventing potential human errors occurrence based on the extensive PIFs and their error forcing context in HRA.

Keywords- Human factors engineering, Human reliability analysis, Human error management.

Citation

Mashio, K., & Ito, K. (2021). Application of Integrated Human Error Management in Human Factors Engineering Process to Nuclear Power Plant Design. International Journal of Mathematical, Engineering and Management Sciences, 6(4), 1186-1198. https://doi.org/10.33889/IJMEMS.2021.6.4.071.

Conflict of Interest

The authors confirm that there is no conflict of interest to declare for this publication.

Acknowledgements

This work is supported by Mitsubishi Heavy Industries, Ltd., and Tottori University in Japan.

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