Sammenlign metoder

	Hybrid Quality Function Deployment	Feilmodus- og effekteanalyse (FMEA)
Fagfelt	Forsøksdesign	Forsøksdesign
Familie	Process / pipeline	Process / pipeline
Opprinnelsesår	1966 (QFD foundation); hybrid variants from mid-1990s onward	1949 (military); widespread industrial adoption 1970s–1980s
Opphavsperson	Yoji Akao (QFD foundation); hybrid extensions by various authors integrating fuzzy sets, AHP, TOPSIS, and optimization	U.S. Military / NASA (formalized by MIL-P-1629, 1949)
Type	Integrated engineering design and decision method	Proactive risk analysis technique
Opprinnelig kilde	Akao, Y. (Ed.). (1990). Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press. ISBN: 978-0915299416	Stamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution (2nd ed.). ASQ Quality Press. ISBN: 978-0873895989
Alias	Hybrid QFD, Integrated QFD, QFD hybrid approach, Extended Quality Function Deployment	FMEA, Failure Modes and Effects Analysis, FMECA, Failure Mode Effects and Criticality Analysis
Relaterte	4	6
Sammendrag	Hybrid Quality Function Deployment (Hybrid QFD) extends the classic House of Quality framework by embedding additional analytical techniques — such as fuzzy set theory, Analytic Hierarchy Process, TOPSIS, or optimization algorithms — directly into the QFD pipeline. This integration addresses known weaknesses of standard QFD, such as imprecision in customer ratings and subjectivity in relationship matrices, while preserving the method's core strength: systematically translating the voice of the customer into actionable engineering specifications.	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.