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Assessing dependency in SPAR-H: Some practical considerations

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Dependency, the relationship between a series of human errors, is an important factor to consider when conducting a human reliability analysis (HRA). The premise of this paper is that we should not expect dependency to be applied frequently. This paper presents guidance on the application of dependency in the SPAR-H HRA method. Overall guidance is provided to prevent overuse of dependency, and then eight specific insights are provided to ensure dependency is applied correctly. Without proper application of dependency, there is the risk that human error probabilities produced by HRA methods will be inaccurate. This paper seeks to ensure dependency does not lead to spurious quantification of errors.

Original languageEnglish
Title of host publicationAdvances in Human Error, Reliability, Resilience, and Performance - Proceedings of the AHFE 2017 International Conference on Human Error, Reliability, Resilience, and Performance, 2017
EditorsRonald Laurids Boring
PublisherSpringer Verlag
Pages13-19
Number of pages7
ISBN (Print)9783319606446
DOIs
StatePublished - 2018
EventAHFE 2017 International Conference on Human Error, Reliability, Resilience, and Performance, 2017 - Los Angeles, United States
Duration: Jul 17 2017Jul 21 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume589
ISSN (Print)2194-5357

Conference

ConferenceAHFE 2017 International Conference on Human Error, Reliability, Resilience, and Performance, 2017
Country/TerritoryUnited States
CityLos Angeles
Period07/17/1707/21/17

Keywords

  • Dependency
  • Human reliability analysis
  • SPAR-H method

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