Reliability Of Risk Assessment In Petrochemical Industries

Reliability Of Risk Assessment In Petrochemical Industries

Quantitative Risk Assessment is one of the approaches to assess risks. A fuzzy set is a new mathematical tool to model inaccuracy and uncertainty. In this research paper, an integrate model has proposed to solve problem of uncertainty of initiative events and their consequences. Hazard and operabili...

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Main Authors: Rachid, Ouache, Ali, A. J. Adham
Format: Article
Language:English
Published: Penerbit Universiti Malaysia Pahang 2015
Subjects:
HD28 Management. Industrial Management
Online Access:http://umpir.ump.edu.my/id/eprint/13852/
http://umpir.ump.edu.my/id/eprint/13852/
http://umpir.ump.edu.my/id/eprint/13852/1/Reliability%20Of%20Risk%20Assessment%20In%20Petrochemical%20Industries.pdf
id ump-13852
recordtype eprints
spelling ump-138522017-01-27T06:59:31Z http://umpir.ump.edu.my/id/eprint/13852/ Reliability Of Risk Assessment In Petrochemical Industries Rachid, Ouache Ali, A. J. Adham HD28 Management. Industrial Management Quantitative Risk Assessment is one of the approaches to assess risks. A fuzzy set is a new mathematical tool to model inaccuracy and uncertainty. In this research paper, an integrate model has proposed to solve problem of uncertainty of initiative events and their consequences. Hazard and operability study, Bow-tie analysis, and layer of protection analysis are methods proposed together as the first step in the model for risk analysis. Reliability-fuzzy is the second step to deal with uncertainty, and simulation is the third step for more accurate of results. From the results realized we can judge that the integration between classical methods, fuzzy approach and simulation is greatest model for more reliability of quantitative risk assessment. Penerbit Universiti Malaysia Pahang 2015 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/13852/1/Reliability%20Of%20Risk%20Assessment%20In%20Petrochemical%20Industries.pdf Rachid, Ouache and Ali, A. J. Adham (2015) Reliability Of Risk Assessment In Petrochemical Industries. International Journal of Industrial Management (IJIM), 1. pp. 1-12. ISSN 2289-9286 (Print); 0127-564x (Online) http://ijim.ump.edu.my/images/pdf/5.pdf
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic HD28 Management. Industrial Management
spellingShingle HD28 Management. Industrial Management
Rachid, Ouache
Ali, A. J. Adham
Reliability Of Risk Assessment In Petrochemical Industries
description Quantitative Risk Assessment is one of the approaches to assess risks. A fuzzy set is a new mathematical tool to model inaccuracy and uncertainty. In this research paper, an integrate model has proposed to solve problem of uncertainty of initiative events and their consequences. Hazard and operability study, Bow-tie analysis, and layer of protection analysis are methods proposed together as the first step in the model for risk analysis. Reliability-fuzzy is the second step to deal with uncertainty, and simulation is the third step for more accurate of results. From the results realized we can judge that the integration between classical methods, fuzzy approach and simulation is greatest model for more reliability of quantitative risk assessment.
format Article
author Rachid, Ouache
Ali, A. J. Adham
author_facet Rachid, Ouache
Ali, A. J. Adham
author_sort Rachid, Ouache
title Reliability Of Risk Assessment In Petrochemical Industries
title_short Reliability Of Risk Assessment In Petrochemical Industries
title_full Reliability Of Risk Assessment In Petrochemical Industries
title_fullStr Reliability Of Risk Assessment In Petrochemical Industries
title_full_unstemmed Reliability Of Risk Assessment In Petrochemical Industries
title_sort reliability of risk assessment in petrochemical industries
publisher Penerbit Universiti Malaysia Pahang
publishDate 2015
url http://umpir.ump.edu.my/id/eprint/13852/
http://umpir.ump.edu.my/id/eprint/13852/
http://umpir.ump.edu.my/id/eprint/13852/1/Reliability%20Of%20Risk%20Assessment%20In%20Petrochemical%20Industries.pdf
first_indexed 2023-09-18T22:16:55Z
last_indexed 2023-09-18T22:16:55Z
_version_ 1777415399401324544

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