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| Analisi Ibrida dei Modi e degli Effetti dei Guasti (Hybrid FMEA)× | Analisi ad Albero dei Guasti (Fault Tree Analysis, FTA)× | |
|---|---|---|
| Campo≠ | Disegno sperimentale | Affidabilità |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 1995 onward (classical FMEA: 1949) | 1981 |
| Ideatore≠ | Hybrid variants pioneered by J. B. Bowles & C. E. Pelaez (fuzzy FMEA, 1995); subsequent integrations with AHP, TOPSIS, and grey theory by multiple researchers | Vesely et al. (US NRC Fault Tree Handbook) |
| Tipo≠ | Reliability and risk analysis technique | Deductive top-down failure analysis |
| Fonte seminale≠ | Liu, H.-C., Liu, L., & Liu, N. (2013). Risk evaluation approaches in failure mode and effects analysis: A literature review. Expert Systems with Applications, 40(2), 828–838. DOI ↗ | Vesely, W. E., Goldberg, F. F., Roberts, N. H., & Haasl, D. F. (1981). Fault Tree Handbook (NUREG-0492). U.S. Nuclear Regulatory Commission. link ↗ |
| Alias | Hybrid FMEA, Fuzzy FMEA, Integrated FMEA, Enhanced FMEA | FTA, Fault Tree Method, Top-Down Reliability Analysis, Hata Ağacı Analizi |
| Correlati≠ | 2 | 3 |
| Sintesi≠ | Hybrid Failure Mode and Effects Analysis (Hybrid FMEA) extends classical FMEA by integrating it with multi-criteria decision methods — such as fuzzy logic, AHP, TOPSIS, or grey theory — to overcome the well-documented limitations of the traditional Risk Priority Number. The hybrid approach enables more nuanced, weighted, and uncertainty-aware prioritization of failure risks in engineering systems, manufacturing processes, and complex sociotechnical environments. | 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. |
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