방법 비교

	시뮬레이션 기반 신뢰도 분석	고장 모드 및 영향 분석 (FMEA)
분야	실험설계	실험설계
계열	Process / pipeline	Process / pipeline
기원 연도	1940s–1980s (Monte Carlo foundations ~1940s; simulation-reliability integration ~1970s–1980s)	1949 (military); widespread industrial adoption 1970s–1980s
창시자	Enrico Fermi, John von Neumann, Stanislaw Ulam (Monte Carlo foundations); Freudenthal (structural reliability); Melchers (simulation integration)	U.S. Military / NASA (formalized by MIL-P-1629, 1949)
유형	Quantitative probabilistic engineering method	Proactive risk analysis technique
원전	Melchers, R. E., & Beck, A. T. (2018). Structural Reliability Analysis and Prediction (3rd ed.). Wiley. ISBN: 978-1119266075	Stamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution (2nd ed.). ASQ Quality Press. ISBN: 978-0873895989
별칭	SARA, Monte Carlo reliability analysis, simulation-based reliability assessment, virtual reliability testing	FMEA, Failure Modes and Effects Analysis, FMECA, Failure Mode Effects and Criticality Analysis
관련	6	6
요약	Simulation-assisted reliability analysis combines probabilistic reliability theory with computational simulation — most commonly Monte Carlo methods or finite-element models — to estimate the probability that a system, component, or structure will perform its intended function under uncertain operating conditions. Rather than relying solely on closed-form analytical solutions, it propagates uncertainty through high-fidelity numerical models to quantify failure risk across complex, nonlinear, or multi-failure-mode systems.	Failure Mode and Effects Analysis (FMEA) is a structured, proactive risk management technique used to identify potential failure modes in a system, process, or product design, evaluate their consequences, and prioritize corrective actions before failures occur. Originally developed for the U.S. military in 1949 and later adopted by NASA, automotive, and manufacturing industries, FMEA is now a cornerstone quality-engineering tool embedded in standards such as AIAG-VDA and ISO 9001-aligned processes.