STOCHASTIC METHODS IN RISK ANALYSIS

In this paper, we review basic stochastic methods which can be used to extend state-of-the-art deterministic analytical methods for risk analysis. We can conclude that the standard deterministic analytical methods highly depend on the practical experience and knowledge of the evaluator and therefore...

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Main Author:	Vladimíra OSADSKÁ
Format:	Article
Language:	English
Published:	VŠB – Technical University of Ostrava, Faculty of Safety Engineering 2017-06-01
Series:	Transactions of the VŠB: Technical University of Ostrava, Safety Engineering Series
Subjects:	Analytical methods stochastics methods risk analysis safety management Monte Carlo
Online Access:	https://www.degruyter.com/downloadpdf/j/tvsbses.2017.12.issue-1/tvsbses-2017-0008/tvsbses-2017-0008.pdf

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spelling	doaj-1da5002c038c4758a10265ef0ab2cb8c2020-11-24T23:24:35ZengVŠB – Technical University of Ostrava, Faculty of Safety EngineeringTransactions of the VŠB: Technical University of Ostrava, Safety Engineering Series1805-32382017-06-01121616710.1515/tvsbses-2017-0008 STOCHASTIC METHODS IN RISK ANALYSISVladimíra OSADSKÁ0VŠB - Technical University of Ostrava, Faculty of Safety Engineering, Ostrava, Czech RepublicIn this paper, we review basic stochastic methods which can be used to extend state-of-the-art deterministic analytical methods for risk analysis. We can conclude that the standard deterministic analytical methods highly depend on the practical experience and knowledge of the evaluator and therefore, the stochastic methods should be introduced. The new risk analysis methods should consider the uncertainties in input values. We present how large is the impact on the results of the analysis solving practical example of FMECA with uncertainties modelled using Monte Carlo sampling.https://www.degruyter.com/downloadpdf/j/tvsbses.2017.12.issue-1/tvsbses-2017-0008/tvsbses-2017-0008.pdfAnalytical methodsstochastics methodsrisk analysissafety managementMonte Carlo
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Vladimíra OSADSKÁ
spellingShingle	Vladimíra OSADSKÁ STOCHASTIC METHODS IN RISK ANALYSIS Transactions of the VŠB: Technical University of Ostrava, Safety Engineering Series Analytical methods stochastics methods risk analysis safety management Monte Carlo
author_facet	Vladimíra OSADSKÁ
author_sort	Vladimíra OSADSKÁ
title	STOCHASTIC METHODS IN RISK ANALYSIS
title_short	STOCHASTIC METHODS IN RISK ANALYSIS
title_full	STOCHASTIC METHODS IN RISK ANALYSIS
title_fullStr	STOCHASTIC METHODS IN RISK ANALYSIS
title_full_unstemmed	STOCHASTIC METHODS IN RISK ANALYSIS
title_sort	stochastic methods in risk analysis
publisher	VŠB – Technical University of Ostrava, Faculty of Safety Engineering
series	Transactions of the VŠB: Technical University of Ostrava, Safety Engineering Series
issn	1805-3238
publishDate	2017-06-01
description	In this paper, we review basic stochastic methods which can be used to extend state-of-the-art deterministic analytical methods for risk analysis. We can conclude that the standard deterministic analytical methods highly depend on the practical experience and knowledge of the evaluator and therefore, the stochastic methods should be introduced. The new risk analysis methods should consider the uncertainties in input values. We present how large is the impact on the results of the analysis solving practical example of FMECA with uncertainties modelled using Monte Carlo sampling.
topic	Analytical methods stochastics methods risk analysis safety management Monte Carlo
url	https://www.degruyter.com/downloadpdf/j/tvsbses.2017.12.issue-1/tvsbses-2017-0008/tvsbses-2017-0008.pdf
work_keys_str_mv	AT vladimiraosadska stochasticmethodsinriskanalysis
_version_	1725559983545778176

STOCHASTIC METHODS IN RISK ANALYSIS

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