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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| 主要な著者: | , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Penerbit Universiti Malaysia Pahang
2015
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| 主題: | |
| オンライン･アクセス: | http://umpir.ump.edu.my/id/eprint/13852/1/Reliability%20Of%20Risk%20Assessment%20In%20Petrochemical%20Industries.pdf http://umpir.ump.edu.my/id/eprint/13852/ http://ijim.ump.edu.my/images/pdf/5.pdf |
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| 要約: | 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. |
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