Salīdzināt metodes

	Jutīguma analīze ar kvalitātes funkciju izvēršanu	Analīze jutīgumam
Nozare	Eksperimentu plānošana	Lēmumu pieņemšana
Saime	Process / pipeline	MCDM
Izcelsmes gads	1990s–2000s (integration period)	2004
Autors	Yoji Akao (QFD foundation); sensitivity extension attributed to multiple QFD researchers (1990s–2000s)	Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M.
Tips	Integrated engineering design and decision analysis technique	Robustness wrapper — parameter / weight perturbation sensitivity indices
Pirmavots	Fung, R. Y. K., Tang, J., Tu, Y., & Wang, D. (2006). Product design resources optimization using a non-linear fuzzy quality function deployment model. International Journal of Production Research, 44(12), 2483–2504.	Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. (2004). Sensitivity Analysis in Practice. Wiley, Chichester
Citi nosaukumi	SA-QFD, QFD sensitivity analysis, robust QFD, House of Quality sensitivity analysis	—
Saistītās	2	0
Kopsavilkums	Sensitivity analysis integrated with Quality Function Deployment (QFD) tests how stable the prioritization of engineering characteristics remains when customer requirement weights or relationship matrix scores are varied. By systematically perturbing the inputs of the House of Quality, teams identify which design parameters are truly critical and which rankings would flip under different assumptions — turning QFD from a one-shot prioritization tool into a robust decision framework.	SENSITIVITY-ANALYSIS (Sensitivity Analysis — Systematic assessment of output variation w.r.t. input perturbations) is a ranking multi-criteria decision-making (MCDM) method introduced by Saltelli, A., Tarantola, S., Campolongo, F., Ratto, M. in 2004. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.