Ibisoglu, Fatmagul and Groth, Katrina M. Methods for Dependency between Human Failure Events in Human Reliability Analysis: An Overview of the State-of-the-Art (Inproceedings) Proceedings of the 29th European Safety and Reliability Conference (ESREL 19), Hannover, Germany, 2019.

BibTeX

@InProceedings{Ibisoglu2019ESREL,
author = {Ibisoglu, Fatmagul and Groth, Katrina M.},
title = {Methods for Dependency between Human Failure Events in Human Reliability Analysis: An Overview of the State-of-the-Art},
booktitle = {Proceedings of the 29th European Safety and Reliability Conference {(ESREL 19)}},
year = {2019},
eventdate = {2019-09-22/2019-09-26},
abstract = {An essential feature of Human Reliability Analysis (HRA) is the ability to model the dependency between Human Failure Events (HFEs). Recent HRA dependency research has focused on improving the handling of dependency within specific methods. In this work, we take a step back and look at the types of dependency which need to be considered in HRA. The goal is to provide a foundation for work on the question of HFE dependency. This paper presents a brief literature review on the methods for handling the dependency between HFEs. This dependency may manifest as a direct relationships between HFEs, or cause and effect relationships between Performance Shaping Factors (PSFs) that lag and linger across events. This paper then provides definitions and examples for terminologies such as independence, mutually exclusive, orthogonality, and dependence. Furthermore, this paper contributes to the HRA literature by expanding the definition of dependency terminology in terms of causal relations. The dependency analysis helps in avoiding over-optimism in predicting, and underestimating the risks in HRA methods and enhances the mathematics and validity of the models involved in HRA.},
address = {Hannover, Germany},
file = {:Conference Papers/Ibisoglu_ESREL2019.pdf:PDF},
owner = {kgroth},
timestamp = {2019-04-17},
}

Abstract

An essential feature of Human Reliability Analysis (HRA) is the ability to model the dependency between Human Failure Events (HFEs). Recent HRA dependency research has focused on improving the handling of dependency within specific methods. In this work, we take a step back and look at the types of dependency which need to be considered in HRA. The goal is to provide a foundation for work on the question of HFE dependency. This paper presents a brief literature review on the methods for handling the dependency between HFEs. This dependency may manifest as a direct relationships between HFEs, or cause and effect relationships between Performance Shaping Factors (PSFs) that lag and linger across events. This paper then provides definitions and examples for terminologies such as independence, mutually exclusive, orthogonality, and dependence. Furthermore, this paper contributes to the HRA literature by expanding the definition of dependency terminology in terms of causal relations. The dependency analysis helps in avoiding over-optimism in predicting, and underestimating the risks in HRA methods and enhances the mathematics and validity of the models involved in HRA.