เปรียบเทียบวิธี

	การวิเคราะห์แผนภูมิต้นไม้แห่งความผิดพร่องด้วยการจำลองสถานการณ์	การวิเคราะห์แผนภูมิต้นไม้เหตุการณ์ (Event Tree Analysis - ETA)
สาขาวิชา	การออกแบบการทดลอง	ความเชื่อถือได้
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1970s–1980s (widespread adoption in nuclear and aerospace industries)	2002
ผู้ริเริ่ม	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	Andrews & Moss
ประเภท	Quantitative reliability and risk analysis technique	Forward inductive logic tree
แหล่งต้นตำรับ	Vesely, W. E., Goldberg, F. F., Roberts, N. H., & Haasl, D. F. (1981). Fault Tree Handbook. US Nuclear Regulatory Commission, NUREG-0492.	Andrews, J. D., & Moss, T. R. (2002). Reliability and Risk Assessment (2nd ed.). Professional Engineering Publishing. ISBN: 978-1-86058-290-5
ชื่อเรียกอื่น	SA-FTA, Monte Carlo FTA, simulation-based FTA, stochastic fault tree analysis	ETA, Event Sequence Diagram Analysis, Initiating Event Analysis, Olay Ağacı Analizi
ที่เกี่ยวข้อง	6	2
สรุป	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.	Event Tree Analysis (ETA) is a forward inductive technique used in reliability and risk engineering to model the possible outcomes that follow an initiating event. Starting from a single undesired event, ETA traces all subsequent event sequences through a binary branching tree representing the success or failure of safety barriers and protective systems. Introduced formally in reliability and risk literature by Andrews and Moss (2002), it is widely applied in nuclear, chemical, and aerospace industries to quantify accident sequence probabilities and guide safety decision-making.