השוואת שיטות

	ניתוח עץ אירועים רב-תגובתי	ניתוח עץ אירועים (ETA)
תחום	תכנון ניסויים	אמינות
משפחה	Process / pipeline	Process / pipeline
שנת המקור	1975 (ETA); multi-response extension: 1990s–2000s	2002
הוגה השיטה	Developed from Event Tree Analysis (originated at WASH-1400 nuclear safety study, U.S. Nuclear Regulatory Commission, 1975); multi-response extension adapted from design-of-experiments and reliability engineering practice	Andrews & Moss
סוג	Probabilistic safety and reliability analysis with multiple simultaneous response outcomes	Forward inductive logic tree
מקור מכונן	Stamatelatos, M., Vesely, W., Dugan, J., Fragola, J., Minarick, J., & Railsback, J. (2002). Fault Tree Handbook with Aerospace Applications. NASA Office of Safety and Mission Assurance.	Andrews, J. D., & Moss, T. R. (2002). Reliability and Risk Assessment (2nd ed.). Professional Engineering Publishing. ISBN: 978-1-86058-290-5
כינויים	MR-ETA, multi-output event tree analysis, multi-response ETA, probabilistic event tree with multiple responses	ETA, Event Sequence Diagram Analysis, Initiating Event Analysis, Olay Ağacı Analizi
קשורות	5	2
תקציר	Multi-response Event Tree Analysis (MR-ETA) extends classical event tree analysis by simultaneously tracking multiple system performance or safety response variables across all accident sequences. Instead of evaluating a single outcome (e.g., probability of failure), it propagates several concurrent response metrics — such as damage severity, downtime, cost, and environmental impact — through the event tree branches, enabling richer risk characterization and trade-off decisions under a single probabilistic framework.	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.