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| Multi-Response Failure Mode and Effects Analysis (MR-FMEA)× | Fejlanalyse (FTA)× | |
|---|---|---|
| Fagområde≠ | Forsøgsdesign | Reliabilitet |
| Familie | Process / pipeline | Process / pipeline |
| Oprindelsesår≠ | 1990s–2000s | 1981 |
| Ophavsperson≠ | Extended from classical FMEA (MIL-P-1629, 1949; Ford Motor Company, 1970s); multi-response integration developed in quality engineering literature from the 1990s onward | Vesely et al. (US NRC Fault Tree Handbook) |
| Type≠ | Risk analysis and quality engineering method | Deductive top-down failure analysis |
| Oprindelig kilde≠ | Stamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution (2nd ed.). ASQ Quality Press. ISBN: 978-0873895989 | Vesely, W. E., Goldberg, F. F., Roberts, N. H., & Haasl, D. F. (1981). Fault Tree Handbook (NUREG-0492). U.S. Nuclear Regulatory Commission. link ↗ |
| Aliasser | MR-FMEA, multi-response FMEA, multi-criteria FMEA, multi-objective FMEA | FTA, Fault Tree Method, Top-Down Reliability Analysis, Hata Ağacı Analizi |
| Relaterede≠ | 6 | 3 |
| Resumé≠ | Multi-response FMEA extends classical Failure Mode and Effects Analysis to systems or processes where each failure mode produces effects across multiple quality characteristics or response variables simultaneously. Rather than assigning a single Risk Priority Number (RPN), it evaluates severity, occurrence, and detectability for each response dimension, then integrates these ratings — often via multi-criteria scoring or weighted aggregation — to obtain a holistic risk ranking that captures the full consequence profile of each failure mode. | 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. |
| ScholarGateDatasæt ↗ |
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