Comparer des méthodes

	Analyse des Modes de Défaillance et de leurs Effets (AMDE)	Analyse statistique de la fiabilité
Domaine	Plans d'expériences	Fiabilité
Famille	Process / pipeline	Regression model
Année d'origine	1949 (military); widespread industrial adoption 1970s–1980s	1998
Auteur d'origine	U.S. Military / NASA (formalized by MIL-P-1629, 1949)	William Meeker & Luis Escobar
Type	Proactive risk analysis technique	Parametric lifetime modeling
Source fondatrice	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
Alias	FMEA, Failure Modes and Effects Analysis, FMECA, Failure Mode Effects and Criticality Analysis	Life Data Analysis, Survival Analysis (Engineering), Time-to-Failure Analysis, Güvenilirlik Analizi
Apparentées	6	3
Résumé	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.	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.