Confronta i metodi

	Analisi dei Modi di Guasto e dei loro Effetti con Risposte Multiple (MR-FMEA)	Analisi ad Albero dei Guasti (Fault Tree Analysis, FTA)
Campo	Disegno sperimentale	Affidabilità
Famiglia	Process / pipeline	Process / pipeline
Anno di origine	1990s–2000s	1981
Ideatore	Extended from classical FMEA (MIL-P-1629, 1949; Ford Motor Company, 1970s); multi-response integration developed in quality engineering literature from the 1990s onward	Vesely et al. (US NRC Fault Tree Handbook)
Tipo	Risk analysis and quality engineering method	Deductive top-down failure analysis
Fonte seminale	Stamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution (2nd ed.). ASQ Quality Press. ISBN: 978-0873895989	Vesely, W. E., Goldberg, F. F., Roberts, N. H., & Haasl, D. F. (1981). Fault Tree Handbook (NUREG-0492). U.S. Nuclear Regulatory Commission.
Alias	MR-FMEA, multi-response FMEA, multi-criteria FMEA, multi-objective FMEA	FTA, Fault Tree Method, Top-Down Reliability Analysis, Hata Ağacı Analizi
Correlati	6	3
Sintesi	Multi-response FMEA extends classical Failure Mode and Effects Analysis to systems or processes where each failure mode produces effects across multiple quality characteristics or response variables simultaneously. Rather than assigning a single Risk Priority Number (RPN), it evaluates severity, occurrence, and detectability for each response dimension, then integrates these ratings — often via multi-criteria scoring or weighted aggregation — to obtain a holistic risk ranking that captures the full consequence profile of each failure mode.	Fault Tree Analysis (FTA) is a top-down, deductive reliability method that begins with an undesired top-level failure event and systematically traces backward through chains of contributing causes using Boolean logic gates (AND, OR). First formalized by Watson at Bell Telephone Laboratories in 1961 and later standardized by Vesely, Goldberg, Roberts, and Haasl in the landmark 1981 NRC Fault Tree Handbook, FTA has become a cornerstone of quantitative risk assessment in nuclear, aerospace, and industrial safety engineering.