Compara mètodes

	Desplegament de la Qualitat basat en el Risc	Anàlisi d'Arbres de Fallades (FTA)
Camp	Disseny experimental	Fiabilitat
Família	Process / pipeline	Process / pipeline
Any d'origen	1990s–2000s (QFD: 1966–1972; risk-based extensions: ~1995–2010)	1981
Autor original	Yoji Akao (QFD foundation); risk integration developed by multiple authors in quality engineering literature from the 1990s onward	Vesely et al. (US NRC Fault Tree Handbook)
Tipus	Structured quality planning method with integrated risk assessment	Deductive top-down failure analysis
Font seminal	Akao, Y. (1990). Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press, Cambridge, MA. ISBN: 978-0915299416	Vesely, W. E., Goldberg, F. F., Roberts, N. H., & Haasl, D. F. (1981). Fault Tree Handbook (NUREG-0492). U.S. Nuclear Regulatory Commission.
Àlies	Risk-based QFD, QFD with risk analysis, FMEA-integrated QFD, risk-integrated House of Quality	FTA, Fault Tree Method, Top-Down Reliability Analysis, Hata Ağacı Analizi
Relacionats	6	3
Resum	Risk-based quality function deployment (Risk-based QFD) integrates formal risk analysis — most commonly Failure Mode and Effects Analysis (FMEA) or risk matrices — into the classic QFD House of Quality framework. By weighting customer requirements and engineering characteristics against their associated failure risks, teams prioritise design and process decisions not only by customer importance but also by potential harm, regulatory exposure, or reliability impact. It is widely used in automotive, aerospace, medical device, and industrial product development.	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.