000			01749nab a2200181 4500
005			20260520004043.0
008			260224s2010 xxu
100	1		_aSchneider, Roxy _946525
245	0	0	_aLooking across industries to improve human reliability data for quantitative risk analyses
260			_cjun. 2010
270			_a18/08/2010 ; 18/08/2010
300			_a5 p. ; 123-127
520			_aTranscripción del resumen del autor. Although meticulous work is often done to determine failure probabilities of Safety Instrumented Systems for Quantitative Risk Assessments (QRAs), the work done to determine failure probabilities of humans performing specific tasks are often less rigorously performed. Yet, human reliability data is just as important to the quality and accuracy of the QRA as non-human failure probabilities. The problem lies in the lack of availability of statistically reliable human failure probabilities for various tasks within the process industries. This article will present and analyze the strengths and weaknesses of a variety of sources of such data. The various methods of data collection and analysis will be discussed and as will the quality and applications of each methods' data output. More specifically, emphasis will be placed on discussion of the US Nuclear Regulatory Commission's Human Event Repository and Analysis program and the possible applicability and worth of the program to the process industries. This presentation is based on work done for the Center for Chemical Process Safety's Human Reliability Project. © 2009 American Institute of Chemical Engineers Process Saf Prog, 2010
581			_a2
773	0		_tProcess safety progress _g29
942			_cARTICULO
999			_c176147 _d176147