2007
DOI: 10.1016/j.ress.2006.06.003
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A probabilistic cognitive simulator for HRA studies (PROCOS)

Abstract: The paper deals with the development of a simulator for approaching human errors in complex operational frameworks (e.g., plant commissioning). The aim is to integrate the quantification capabilities of the so-called 'first-generation' human reliability assessment (HRA) methods with a cognitive evaluation of the operator. The simulator allows analysing both error prevention and error recovery. It integrates cognitive human error analysis with standard hazard analysis methods (Hazop and event tree) by means of … Show more

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Cited by 33 publications
(15 citation statements)
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“…Although the CREAM incorporates psychological factors (e.g., inattention and missing observations) in the mechanisms of influence between the workplace environment and human errors, studies show that the application of HRA in various industries also shares common defects [31,32] as follows:…”
Section: Challenges Of Human Reliabilitymentioning
confidence: 99%
“…Although the CREAM incorporates psychological factors (e.g., inattention and missing observations) in the mechanisms of influence between the workplace environment and human errors, studies show that the application of HRA in various industries also shares common defects [31,32] as follows:…”
Section: Challenges Of Human Reliabilitymentioning
confidence: 99%
“…However, some problems remain, such as eliminating redundant consistent paths, and overcoming inherent qualitative ambiguities by combining SDG with quantitative information. Other recent work is described in references [158][159][160]. Guimarães and Franklin [158] developed a methodology which uses risk priority number for scale any parameter characteristics of the system and a fuzzy inference system for estimating risk from expert opinion about the quantification of the linguistic variables, named FuzzyHAZOP rpn.…”
Section: Automating Hazop: Expert Systemsmentioning
confidence: 99%
“…Guimarães and Franklin [158] developed a methodology which uses risk priority number for scale any parameter characteristics of the system and a fuzzy inference system for estimating risk from expert opinion about the quantification of the linguistic variables, named FuzzyHAZOP rpn. Finally, in [159], Trucco and Leva developed a simulator for approaching human errors in complex operational frameworks (e.g., plant commissioning). The authors integrated the quantification capabilities of human reliability assessment (HRA) methods with a cognitive evaluation of the operator.…”
Section: Automating Hazop: Expert Systemsmentioning
confidence: 99%
“…Besides the basic set of deviation guidewords used in continuous processes the HAZOP of batch processes requires extra time-related guidewords. Bickerton [9] , Mushtaq & Chung [10] and Trucco & Leva [11] define several extra guidewords shown in table 1.…”
Section: Hazop Studiesmentioning
confidence: 99%