Reliability Quantitative Risk Assessment in Engineering System using Fuzzy Bow-Tie

uantitative risk assessment (QRA) and reliability are important approaches in modern safety to deal with reliable decision. QRA is the best approach to estimating the initiating events and its probable consequences. However, the weakness of assessment still the main problem faces its advancement. In...

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Main Authors: Ouache, Rachid, Ali, A. J. Adham
Format: Article
Language:English
Published: INPRESSCO 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/6012/
http://umpir.ump.edu.my/id/eprint/6012/
http://umpir.ump.edu.my/id/eprint/6012/1/ftech-2014-rachid-bowtie.pdf
id ump-6012
recordtype eprints
spelling ump-60122015-06-24T01:35:52Z http://umpir.ump.edu.my/id/eprint/6012/ Reliability Quantitative Risk Assessment in Engineering System using Fuzzy Bow-Tie Ouache, Rachid Ali, A. J. Adham T Technology (General) uantitative risk assessment (QRA) and reliability are important approaches in modern safety to deal with reliable decision. QRA is the best approach to estimating the initiating events and its probable consequences. However, the weakness of assessment still the main problem faces its advancement. In this study, the Bow-tie analysis based on fault tree analysis and event tree analysis are proposed to solve the problem using fuzzy sets to deal with uncertainty and imprecise of results. The risk in Petroleum Company concerned in this article, where fuzzy sets is an approach used to help analysis methods to precise the values of initiating events and outcomes. The results have gotten are motivate and more precise which help us to deal with the uncertainty of initiating events and consequences. INPRESSCO 2014 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/6012/1/ftech-2014-rachid-bowtie.pdf Ouache, Rachid and Ali, A. J. Adham (2014) Reliability Quantitative Risk Assessment in Engineering System using Fuzzy Bow-Tie. International Journal of Current Engineering and Technology, 4 (2). pp. 1117-1123. ISSN 2347-5161 (print); 2277–4106 (online) http://inpressco.com/reliability-quantitative-risk-assessment-in-engineering-system-using-fuzzy-bow-tie/
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic T Technology (General)
spellingShingle T Technology (General)
Ouache, Rachid
Ali, A. J. Adham
Reliability Quantitative Risk Assessment in Engineering System using Fuzzy Bow-Tie
description uantitative risk assessment (QRA) and reliability are important approaches in modern safety to deal with reliable decision. QRA is the best approach to estimating the initiating events and its probable consequences. However, the weakness of assessment still the main problem faces its advancement. In this study, the Bow-tie analysis based on fault tree analysis and event tree analysis are proposed to solve the problem using fuzzy sets to deal with uncertainty and imprecise of results. The risk in Petroleum Company concerned in this article, where fuzzy sets is an approach used to help analysis methods to precise the values of initiating events and outcomes. The results have gotten are motivate and more precise which help us to deal with the uncertainty of initiating events and consequences.
format Article
author Ouache, Rachid
Ali, A. J. Adham
author_facet Ouache, Rachid
Ali, A. J. Adham
author_sort Ouache, Rachid
title Reliability Quantitative Risk Assessment in Engineering System using Fuzzy Bow-Tie
title_short Reliability Quantitative Risk Assessment in Engineering System using Fuzzy Bow-Tie
title_full Reliability Quantitative Risk Assessment in Engineering System using Fuzzy Bow-Tie
title_fullStr Reliability Quantitative Risk Assessment in Engineering System using Fuzzy Bow-Tie
title_full_unstemmed Reliability Quantitative Risk Assessment in Engineering System using Fuzzy Bow-Tie
title_sort reliability quantitative risk assessment in engineering system using fuzzy bow-tie
publisher INPRESSCO
publishDate 2014
url http://umpir.ump.edu.my/id/eprint/6012/
http://umpir.ump.edu.my/id/eprint/6012/
http://umpir.ump.edu.my/id/eprint/6012/1/ftech-2014-rachid-bowtie.pdf
first_indexed 2023-09-18T22:01:30Z
last_indexed 2023-09-18T22:01:30Z
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