Phoenix – A model-based Human Reliability Analysis methodology: Qualitative Analysis Procedure

Nsimah J. Ekanem, Ali Mosleh and Song-Hua Shen

Reliability Engineering and System Safety, 2016, vol. 145, issue C, 301-315

Abstract: Phoenix method is an attempt to address various issues in the field of Human Reliability Analysis (HRA). Built on a cognitive human response model, Phoenix incorporates strong elements of current HRA good practices, leverages lessons learned from empirical studies, and takes advantage of the best features of existing and emerging HRA methods. Its original framework was introduced in previous publications. This paper reports on the completed methodology, summarizing the steps and techniques of its qualitative analysis phase. The methodology introduces the “Crew Response Tree†which provides a structure for capturing the context associated with Human Failure Events (HFEs), including errors of omission and commission. It also uses a team-centered version of the Information, Decision and Action cognitive model and “macro-cognitive†abstractions of crew behavior, as well as relevant findings from cognitive psychology literature and operating experience, to identify potential causes of failures and influencing factors during procedure-driven and knowledge-supported crew-plant interactions. The result is the set of identified HFEs and likely scenarios leading to each. The methodology itself is generic in the sense that it is compatible with various quantification methods, and can be adapted for use across different environments including nuclear, oil and gas, aerospace, aviation, and healthcare.

Keywords: Probabilistic Risk Assessment (PRA); Human Reliability Analysis (HRA); Human Failure Event (HFE); Performance Influencing Factor (PIF); Crew Failure Mode (CFM); Crew Response Tree (CRT) (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (26)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:145:y:2016:i:c:p:301-315

DOI: 10.1016/j.ress.2015.07.009

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