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| Analyse d'arbre d'événements assistée par optimisation× | Arbre d'événements (ETA)× | |
|---|---|---|
| Domaine≠ | Plans d'expériences | Fiabilité |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1975 (ETA); optimization integration ~1990s–2000s | 2002 |
| Auteur d'origine≠ | 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 |
| Type≠ | Hybrid risk analysis and optimization method | Forward inductive logic tree |
| Source fondatrice≠ | 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 |
| Alias | OA-ETA, optimization-integrated ETA, optimization-enhanced event tree analysis, ETA with optimization | ETA, Event Sequence Diagram Analysis, Initiating Event Analysis, Olay Ağacı Analizi |
| Apparentées≠ | 5 | 2 |
| Résumé≠ | 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. |
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