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Analisis Sensitivitas dengan Analisis Pohon Kegagalan×Simulasi Monte Carlo×
BidangDesain EksperimenPengambilan Keputusan
KeluargaProcess / pipelineMCDM
Tahun asal1961 (FTA); sensitivity integration formalised 1970s–1980s1949
PencetusH. A. Watson (Bell Labs, FTA, 1961); integrated sensitivity extensions developed through nuclear safety research (Vesely et al., 1981)Metropolis, N., Ulam, S.
TipeQuantitative reliability and risk analysis techniqueRobustness wrapper — Monte Carlo uncertainty propagation
Sumber perintisVesely, 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 ↗
AliasFTA-SA, fault tree sensitivity analysis, FTA with importance measures, probabilistic sensitivity analysis in fault trees
Terkait30
RingkasanSensitivity 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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ScholarGateBandingkan metode: Sensitivity analysis with fault tree analysis · MONTE-CARLO-SIMULATION. Diakses 2026-06-18 dari https://scholargate.app/id/compare