השוואת שיטות

	ניתוח מצבי כשל והשפעותיו בסיוע סימולציה	ניתוח אמינות סטטיסטי
תחום	תכנון ניסויים	אמינות
משפחה	Process / pipeline	Regression model
שנת המקור	1949 (FMEA); simulation-assisted variant: 1980s–1990s	1998
הוגה השיטה	FMEA originates from US MIL-P-1629 (1949); simulation integration developed in reliability engineering from the 1980s–1990s	William Meeker & Luis Escobar
סוג	Reliability and risk analysis method	Parametric lifetime modeling
מקור מכונן	Stamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution (2nd ed.). ASQ Quality Press. ISBN: 978-0873895989	Meeker, W. Q., & Escobar, L. A. (1998). Statistical Methods for Reliability Data. Wiley. ISBN: 978-0-471-14328-4
כינויים	Simulation-FMEA, Monte Carlo FMEA, Simulation-based FMEA, SA-FMEA	Life Data Analysis, Survival Analysis (Engineering), Time-to-Failure Analysis, Güvenilirlik Analizi
קשורות	6	3
תקציר	Simulation-assisted FMEA enhances the classical Failure Mode and Effects Analysis by replacing point-estimate occurrence ratings with probabilistic simulation — typically Monte Carlo — to quantify failure probability distributions across a system's components. This yields statistically grounded Risk Priority Numbers (RPNs) rather than expert guesses, enabling more rigorous identification and prioritization of critical failure modes in complex engineering systems.	Statistical reliability analysis models the time-to-failure of components, systems, or products using parametric lifetime distributions fitted to observed or censored failure data. Formalized comprehensively by William Q. Meeker and Luis A. Escobar in their 1998 Wiley monograph, the framework integrates maximum likelihood estimation, censoring mechanisms, and distributional diagnostics to produce probability-of-failure curves, hazard rates, and quantile estimates that support design, warranty, and maintenance decisions.