The increasing number of accidents and the growing complexity of system technologies lead to the consequence that theoretical models not considering human factor aren’t able to fully explain real events. Understanding and evaluating the influence of human factor is necessary to assess its weight on the overall system performance. The present work is based on CREAM technique - Cognitive Reliability and Error Analysis Method. It explicitly contains a method, a classification scheme and a model describing possible causes and effects in human actions. Moreover CREAM offers a cognitive model and its application methodology in a practical approach to performance analysis and prediction of human reliability. The main goal of this study is the proposal of a modeling technique based on a user-friendly graphic representation introducing human reliability main elements and their interactions. In a second time, such a model has been easily implemented by means of a special purpose simulation software called SPAR (™ of Clockwork Group), conceived and used in reliability, availability and logistic support assessment. A first application was performed developing simulation runs, based on simple assumptions about human performance and analyzing the results. This is a template for 2005 Asia-Pacific Conference on Risk Management and Safety: Challenges in Engineering Applications and Advances in Technologies. Abstracts for the accepted full paper should be concise and do not exceed 200 words. The abstract should be in 11 points, Times New Roman and placed before the first section with a horizontal line before and after. All text, tables, formulae, etc., presented in this paper is formatted according to the formatting notes below.

Evaluation of Human Factor within System Reliability / M. BANDELLONI; O. BORGIA; F. DE CARLO;F. TOCCHI. - STAMPA. - 1:(2005), pp. 70-76. (Intervento presentato al convegno 2005 Asia-Pacific Conference on Risk Management and Safety tenutosi a Hong Kong (PRC) nel 1-2/12/2005).

Evaluation of Human Factor within System Reliability

BANDELLONI, MARTINO;BORGIA, ORLANDO;DE CARLO, FILIPPO;
2005

Abstract

The increasing number of accidents and the growing complexity of system technologies lead to the consequence that theoretical models not considering human factor aren’t able to fully explain real events. Understanding and evaluating the influence of human factor is necessary to assess its weight on the overall system performance. The present work is based on CREAM technique - Cognitive Reliability and Error Analysis Method. It explicitly contains a method, a classification scheme and a model describing possible causes and effects in human actions. Moreover CREAM offers a cognitive model and its application methodology in a practical approach to performance analysis and prediction of human reliability. The main goal of this study is the proposal of a modeling technique based on a user-friendly graphic representation introducing human reliability main elements and their interactions. In a second time, such a model has been easily implemented by means of a special purpose simulation software called SPAR (™ of Clockwork Group), conceived and used in reliability, availability and logistic support assessment. A first application was performed developing simulation runs, based on simple assumptions about human performance and analyzing the results. This is a template for 2005 Asia-Pacific Conference on Risk Management and Safety: Challenges in Engineering Applications and Advances in Technologies. Abstracts for the accepted full paper should be concise and do not exceed 200 words. The abstract should be in 11 points, Times New Roman and placed before the first section with a horizontal line before and after. All text, tables, formulae, etc., presented in this paper is formatted according to the formatting notes below.
2005
2005 Asia-Pacific Conference on Risk Management and Safety
2005 Asia-Pacific Conference on Risk Management and Safety
Hong Kong (PRC)
1-2/12/2005
M. BANDELLONI; O. BORGIA; F. DE CARLO;F. TOCCHI
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/260115
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