Usporedite metode

	Optimizacijski potpomognuto QFD	Robusno usmjeravanje kvalitete (Robust Quality Function Deployment)
Područje	Eksperimentalni dizajn	Eksperimentalni dizajn
Obitelj	Process / pipeline	Process / pipeline
Godina nastanka	1990s–2000s (QFD base: ~1966)	2000s (robust extensions of QFD originating 1966)
Tvorac	Yoji Akao (QFD); optimization extensions by various researchers (1990s–2000s)	Extension of Yoji Akao's QFD (1966); robust adaptation by Fung, Kwong and others (early 2000s)
Vrsta	Integrated engineering design method	Hybrid quality-engineering planning method
Temeljni izvor	Akao, Y. (1990). Quality Function Deployment: Integrating Customer Requirements into Product Design. Productivity Press, Cambridge, MA. ISBN: 978-0915299416	Fung, R. Y. K., Tang, J., & Tu, Y. (2002). Modeling of quality function deployment planning under resource allocation constraints. Computers & Industrial Engineering, 43(1–2), 313–328.
Drugi nazivi	Optimization-integrated QFD, QFD with optimization, Mathematical programming QFD, OA-QFD	Robust QFD, Uncertainty-tolerant QFD, Fuzzy-robust QFD, Robust House of Quality
Srodne	4	4
Sažetak	Optimization-assisted QFD extends the classic House of Quality framework by embedding mathematical optimization — linear programming, multi-objective optimization, or metaheuristics — directly into the QFD process. This allows engineers to simultaneously maximize customer satisfaction and minimize cost or resource constraints when setting target values for engineering characteristics, going beyond the largely subjective priority rankings of traditional QFD.	Robust Quality Function Deployment (Robust QFD) extends the classical House of Quality framework by explicitly modeling uncertainty and variability in customer requirements, perception ratings, and engineering correlation judgments. Instead of treating inputs as crisp single-point values, it applies fuzzy sets, interval analysis, or Taguchi-inspired robustness techniques to ensure that the resulting design targets remain stable and customer-satisfying even when inputs are imprecise or fluctuating.