Methoden vergleichen

	Simulationsgestützte Fehlerbaumanalyse	Monte-Carlo-Simulation
Fachgebiet	Versuchsplanung	Entscheidungsfindung
Familie	Process / pipeline	MCDM
Entstehungsjahr	1970s–1980s (widespread adoption in nuclear and aerospace industries)	1949
Urheber	Fault tree analysis: H. A. Watson (Bell Labs, 1961); Monte Carlo integration in reliability: Herman Kahn / Stanislaw Ulam (RAND, late 1940s); combination formalized in reliability engineering literature from the 1970s onward	Metropolis, N., Ulam, S.
Typ	Quantitative reliability and risk analysis technique	Robustness wrapper — Monte Carlo uncertainty propagation
Wegweisende Quelle	Vesely, W. E., Goldberg, F. F., Roberts, N. H., & Haasl, D. F. (1981). Fault Tree Handbook. US Nuclear Regulatory Commission, NUREG-0492.	Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association
Aliasnamen	SA-FTA, Monte Carlo FTA, simulation-based FTA, stochastic fault tree analysis	—
Verwandt	6	0
Zusammenfassung	Simulation-assisted fault tree analysis (SA-FTA) combines the logical structure of classical fault tree analysis with Monte Carlo or discrete-event simulation to estimate the probability and timing of an undesired top event when component failures follow complex, non-exponential, or correlated probability distributions. The approach overcomes the analytical limitations of Boolean algebra-based FTA and is widely used in nuclear, aerospace, chemical process, and manufacturing reliability engineering.	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.