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Reliability Of Risk Assessment In Petrochemical Industries

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)

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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.

Item Type: Article
Uncontrolled Keywords: Reliability, Quantitative Risk Assessment, Hazard and Operability Study, Bow-tie Analysis, Layer Of Protection Analysis, Simulation and Modelling
Subjects: H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Faculty/Division: Faculty of Industrial Management
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 27 Jan 2017 06:59
Last Modified: 27 Jan 2017 06:59
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