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Bow-Tie Risk Analysis×Анализ видов и последствий отказов×
ОбластьDisaster StudiesПринятие решений
СемействоProcess / pipelineMCDM
Год появления20161995
Автор методаSynthesized review by de Ruijter & Guldenmund; standardized in ISO/IEC 31010Stamatis, D. H.
ТипBarrier-centred cause-consequence risk diagram and analysisRisk priority via product of O·S·D ratings
Основополагающий источникde Ruijter, A., & Guldenmund, F. (2016). The bowtie method: A review. Safety Science, 88, 211-218. DOI ↗Stamatis, D. H. (1995). Failure Mode and Effect Analysis: FMEA from Theory to Execution. ASQ Quality Press ISBN: 978-0-87389-300-8
Другие названияBowtie Method, Bow-Tie Diagram, Barrier Analysis (Bow-Tie), Cause-Consequence Barrier Model
Связанные38
СводкаBow-tie risk analysis is a barrier-centred technique that places a single top event — the moment control over a hazard is lost — at the knot of a diagram, branches its possible causes to the left and its possible consequences to the right, and arrays along each pathway the barriers meant to prevent or mitigate it. The shape gives the method its name: the fanning threats and consequences form the two halves of a bow tie around the central event. de Ruijter and Guldenmund's 2016 review in Safety Science documents how the approach grew popular precisely because it combines, in one readable picture, the cause logic of a fault tree and the consequence logic of an event tree while foregrounding the controls that managers actually own. ISO/IEC 31010 lists bow-tie analysis among standard risk-assessment techniques, used both qualitatively to communicate risk and barrier coverage and quantitatively to estimate consequence likelihoods.FMEA (Failure Mode and Effects Analysis) is a ranking multi-criteria decision-making (MCDM) method introduced by Stamatis, D. H. in 1995. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateСравнение методов: Bow-Tie Risk Analysis · FMEA. Получено 2026-06-25 из https://scholargate.app/ru/compare