Identification of Performance Shaping Factors Affecting Subsequent Human Actions for Dependence Assessment in Human Reliability Analysis

Autor:	Jooyoung Park, Ronald L. Boring
Rok vydání:	2021
Předmět:	Dependency (UML) Mathematical model business.industry Computer science Failure probability Technique for Human Error Rate Prediction Machine learning computer.software_genre Identification (information) Action (philosophy) Artificial intelligence business computer Human reliability
Zdroj:	Advances in Safety Management and Human Performance ISBN: 9783030802875 AHFE (4)
DOI:	10.1007/978-3-030-80288-2_6
Popis:	Dependence assessment refers to a method for adjusting the failure probability for the following action by considering the impact of the preceding action in human reliability analysis (HRA). This paper introduces a method for dependence assessment using performance shaping factors (PSFs), which is a different approach compared to existing dependency methods based on the Technique for Human Error-Rate Prediction (THERP). To be specific, the method presented here focuses on PSFs affecting multiple human actions and suggests how to quantify dependencies between human actions based on mathematical models and if-then logic for the PSFs. In this paper, the fundamental approach is introduced with a comparison to existing dependency methods. This paper also describes how we have developed the method.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::456da43f5e05450442262c9026bde5b3 https://doi.org/10.1007/978-3-030-80288-2_6 Zobrazit plný text záznamu