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| Analiza drzewa zdarzeń wspomagana optymalizacją× | Analiza drzewa zdarzeń oparta na ryzyku× | |
|---|---|---|
| Dziedzina | Planowanie eksperymentów | Planowanie eksperymentów |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 1975 (ETA); optimization integration ~1990s–2000s | 1975 (WASH-1400); risk-based integration formalized through 1980s–1990s PRA practice |
| Twórca≠ | 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 | Originated in nuclear industry (US Nuclear Regulatory Commission, WASH-1400 report); risk-based framing developed through probabilistic risk assessment practice |
| Typ≠ | Hybrid risk analysis and optimization method | Risk and reliability analysis technique |
| Źródło pierwotne | Bedford, T., & Cooke, R. (2001). Probabilistic Risk Analysis: Foundations and Methods. Cambridge University Press. ISBN: 978-0521773194 | Bedford, T., & Cooke, R. (2001). Probabilistic Risk Analysis: Foundations and Methods. Cambridge University Press. ISBN: 978-0521773201 |
| Inne nazwy | OA-ETA, optimization-integrated ETA, optimization-enhanced event tree analysis, ETA with optimization | Risk-based ETA, probabilistic event tree analysis, consequence-probability event tree, risk-informed ETA |
| Pokrewne≠ | 5 | 4 |
| Podsumowanie≠ | 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. | Risk-based event tree analysis is a forward-looking, inductive risk assessment technique that models the consequences of an initiating event by tracing binary success/failure branches through safety barriers, then weights each outcome path by its probability to produce quantified risk estimates. Widely applied in nuclear, chemical process, aviation, and infrastructure safety engineering, it sits at the heart of probabilistic risk assessment (PRA) and supports both design decisions and regulatory compliance. |
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