2006
DOI: 10.1080/13669870500419529
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ARAMIS Project: Reference Accident Scenarios Definition in SEVESO Establishment

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Cited by 12 publications
(12 citation statements)
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“…While several approaches exist for Bowtie construction, there is no standard [22,33]. The two main issues are (i) the lack of a standard methodology for systematically identifying Bowtie elements, and (ii) the subjectivity of the process.…”
Section: Limitation In the Methods For Bowtie Constructionmentioning
confidence: 99%
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“…While several approaches exist for Bowtie construction, there is no standard [22,33]. The two main issues are (i) the lack of a standard methodology for systematically identifying Bowtie elements, and (ii) the subjectivity of the process.…”
Section: Limitation In the Methods For Bowtie Constructionmentioning
confidence: 99%
“…As previously shown, the Bowtie method has elements of fault and event trees, albeit without the quantification or Boolean logic. There have been occasional efforts to re-introduce those features into Bowtie, e.g., in cyber security [14] and the process industry [33]. However, quantification and formalisation of the logic still suffers from the limitation of requiring estimates of probabilities-the provenance of which is as difficult as it originally was for FTA.…”
Section: Existing Approaches Constructing a Bowtie Diagrammentioning
confidence: 99%
“…Bowtie was used as the basis for the MIMAH methodology. A major achievement of the Seveso Directive includes legislations by the European Union to prevent major accidents and to limit their outcomes [2,26,27].…”
Section: Historical Originsmentioning
confidence: 99%
“…The identification of major accident hazards is performed in the ARAMIS project by the methodology MIMAH [2], abbreviation of Methodology for the Identification of Major Accident Hazards. Major accident hazards correspond to the worst accidents likely to occur on a site, assuming that no safety barriers are installed or that they are inefficient.…”
Section: Identification Of the Major Accident Hazards Using Bow-tiesmentioning
confidence: 99%