So sánh phương pháp

	Phân tích cây sự kiện có hỗ trợ tối ưu hóa	Phân tích Cây Sự kiện (ETA)
Lĩnh vực	Thiết kế thí nghiệm	Độ tin cậy
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1975 (ETA); optimization integration ~1990s–2000s	2002
Người khởi xướng	Event tree analysis originated at the U.S. Nuclear Regulatory Commission (WASH-1400, 1975); optimization integration developed through risk engineering literature from the 1990s onward	Andrews & Moss
Loại	Hybrid risk analysis and optimization method	Forward inductive logic tree
Công trình gốc	Bedford, T., & Cooke, R. (2001). Probabilistic Risk Analysis: Foundations and Methods. Cambridge University Press. ISBN: 978-0521773194	Andrews, J. D., & Moss, T. R. (2002). Reliability and Risk Assessment (2nd ed.). Professional Engineering Publishing. ISBN: 978-1-86058-290-5
Tên gọi khác	OA-ETA, optimization-integrated ETA, optimization-enhanced event tree analysis, ETA with optimization	ETA, Event Sequence Diagram Analysis, Initiating Event Analysis, Olay Ağacı Analizi
Liên quan	5	2
Tóm tắt	Optimization-assisted event tree analysis couples the structured probability logic of classical event tree analysis (ETA) with an optimization layer — typically mathematical programming or metaheuristic search — to identify the best combination of safety barriers, mitigation strategies, or resource allocations that minimizes risk or cost while satisfying engineering constraints. It is used in industrial risk engineering, nuclear safety, process industries, and infrastructure reliability.	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.