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Análise de Sensibilidade com Análise de Árvore de Falhas×Simulação de Monte Carlo×
ÁreaDelineamento experimentalTomada de decisão
FamíliaProcess / pipelineMCDM
Ano de origem1961 (FTA); sensitivity integration formalised 1970s–1980s1949
Autor originalH. A. Watson (Bell Labs, FTA, 1961); integrated sensitivity extensions developed through nuclear safety research (Vesely et al., 1981)Metropolis, N., Ulam, S.
TipoQuantitative reliability and risk analysis techniqueRobustness wrapper — Monte Carlo uncertainty propagation
Fonte seminalVesely, W. E., Goldberg, F. F., Roberts, N. H., & Haasl, D. F. (1981). Fault Tree Handbook. US Nuclear Regulatory Commission, NUREG-0492. link ↗Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association DOI ↗
Outros nomesFTA-SA, fault tree sensitivity analysis, FTA with importance measures, probabilistic sensitivity analysis in fault trees
Relacionados30
ResumoSensitivity analysis integrated with fault tree analysis (FTA-SA) is a quantitative reliability engineering method that first models how system failure can occur through a hierarchical Boolean logic tree, then systematically varies the probability of each basic event to determine which components drive overall system failure risk most strongly. Widely used in nuclear, aerospace, chemical, and safety-critical system design, it prioritises mitigation effort and reveals which uncertainty in input data matters most.MONTE-CARLO-SIMULATION (Monte Carlo Simulation — Stochastic uncertainty propagation through MCDM model) is a ranking multi-criteria decision-making (MCDM) method introduced by Metropolis, N., Ulam, S. in 1949. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateComparar métodos: Sensitivity analysis with fault tree analysis · MONTE-CARLO-SIMULATION. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare