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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oai:umpir.ump.edu.my: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 |
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language |
English |
topic |
HD28 Management. Industrial Management |
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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 |
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2018-09-07T01:49:58Z |
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2018-09-07T01:49:58Z |
_version_ |
1610911578728693760 |