A study on assigning performance shaping factors of the SPAR-H method for adequacy human reliability analysis of nuclear power plants

Jianqiao Liu; Yanhua Zou; Wei Wang; Li Zhang; Tao Qing; Tengjiao Zheng; Qianqiao Ding

doi:10.1016/j.ergon.2020.103051

Author(s)

Jianqiao Liu
Yanhua Zou
Li Zhang
Tao Qing
Tengjiao Zheng
Qianqiao Ding

Related Research Unit(s)

Department of Mechanical Engineering

Detail(s)

Original language	English
Article number	103051
Journal / Publication	International Journal of Industrial Ergonomics
Volume	81
Online published	25 Dec 2020
Publication status	Published - Jan 2021

Link(s)

DOI	DOI https://doi.org/10.1016/j.ergon.2020.103051 Final Published version
	Check@CityULib
Document Link	Links https://www.sciencedirect.com/science/article/am/pii/S0169814119303610 Post-print
Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-85097751841&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(79f3c278-74c5-4633-b57a-0831956742d8).html

Abstract

The performance shaping factors (PSFs) of the standardized plant analysis of risk-human reliability analysis (SPAR-H) method are unclearly defined, which contributes to the uncertainty of human reliability analysis (HRA) in nuclear power plants (NPPs). This work proposes an expert-based modification approach for redefining the PSFs based on four criteria in terms of less overlap, hierarchy, flexibility, and digitalization. For demonstration, the proposed approach is used to assign PSFs to three specific human failure events in NPPs. Three tests (Kendall's W Test, Jonckheere-Terpstra Test, and Paired Samples Test) are applied to analyze the assignments. Compared to the PSF assignment of SPAR-H, the results show that the redefined PSFs meet the four criteria and reduce the overestimation of human error probabilities (HEPs).