Módszerek összehasonlítása

	Hibrid Hibaelemszési és Hatáselemzési Módszer	Módus Hiba és Hatás Elemzés (FMEA)
Tudományterület	Kísérlettervezés	Kísérlettervezés
Módszercsalád	Process / pipeline	Process / pipeline
Keletkezés éve	1995 onward (classical FMEA: 1949)	1949 (military); widespread industrial adoption 1970s–1980s
Megalkotó	Hybrid variants pioneered by J. B. Bowles & C. E. Pelaez (fuzzy FMEA, 1995); subsequent integrations with AHP, TOPSIS, and grey theory by multiple researchers	U.S. Military / NASA (formalized by MIL-P-1629, 1949)
Típus	Reliability and risk analysis technique	Proactive risk analysis technique
Alapmű	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.	Stamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution (2nd ed.). ASQ Quality Press. ISBN: 978-0873895989
Alternatív nevek	Hybrid FMEA, Fuzzy FMEA, Integrated FMEA, Enhanced FMEA	FMEA, Failure Modes and Effects Analysis, FMECA, Failure Mode Effects and Criticality Analysis
Kapcsolódó	2	6
Összefoglaló	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.	Failure Mode and Effects Analysis (FMEA) is a structured, proactive risk management technique used to identify potential failure modes in a system, process, or product design, evaluate their consequences, and prioritize corrective actions before failures occur. Originally developed for the U.S. military in 1949 and later adopted by NASA, automotive, and manufacturing industries, FMEA is now a cornerstone quality-engineering tool embedded in standards such as AIAG-VDA and ISO 9001-aligned processes.