Methoden vergleichen

	Simulationsgestütztes Quality Function Deployment	Design of Experiments
Fachgebiet	Versuchsplanung	Versuchsplanung
Familie	Process / pipeline	Process / pipeline
Entstehungsjahr	1990s–2000s (QFD: 1966; simulation integration: ~1995–2005)	1935
Urheber	Yoji Akao (QFD foundation); simulation integration developed by engineering researchers in 1990s–2000s	Ronald A. Fisher
Typ	Hybrid engineering design and quality planning method	Experimental planning framework
Wegweisende Quelle	Akao, Y. (Ed.). (1990). Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press. ISBN: 978-0915299416	Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd.
Aliasnamen	SA-QFD, simulation-integrated QFD, simulation-driven house of quality, QFD with simulation	DOE, experimental design, factorial experimentation, planned experimentation
Verwandt	6	3
Zusammenfassung	Simulation-assisted quality function deployment (SA-QFD) integrates computational simulation into the classic QFD framework to replace or supplement costly physical prototypes when evaluating how engineering design decisions satisfy customer requirements. By embedding simulation models — such as finite element analysis, discrete-event simulation, or system dynamics — within the House of Quality matrix, engineers can rapidly quantify the impact of technical characteristics on customer satisfaction and iteratively refine design priorities before committing to production.	Design of Experiments (DOE) is a systematic framework for planning, conducting, and analyzing controlled experiments to determine how multiple input factors simultaneously affect one or more responses. Introduced by Ronald A. Fisher in 1935, DOE allows researchers and engineers to identify causal relationships, quantify factor effects, and find optimal settings efficiently — using far fewer runs than one-factor-at-a-time approaches. It is foundational in engineering, manufacturing, agriculture, and applied sciences.