विधियों की तुलना करें

	सिक्स सिग्मा डीएमएआईसी	प्रतिक्रिया सतह पद्धति (RSM)
क्षेत्र	गुणवत्ता प्रबंधन	प्रयोगात्मक अभिकल्प
परिवार	Process / pipeline	Hypothesis test
उद्भव वर्ष	2014	1951
प्रवर्तक	Motorola; Pyzdek & Keller	George E. P. Box & K. B. Wilson
प्रकार	Structured process improvement methodology	Second-order polynomial response surface model
मौलिक स्रोत	Pyzdek, T., & Keller, P. (2014). The Six Sigma Handbook (4th ed.). McGraw-Hill. ISBN: 978-0-07-184053-9	Box, G. E. P. & Wilson, K. B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society, Series B, 13(1), 1–45.
उपनाम	DMAIC Framework, Six Sigma Process Improvement Cycle, Define-Measure-Analyze-Improve-Control, Altı Sigma DMAIC	RSM, Central Composite Design, Box-Behnken Design, CCD
संबंधित	3	7
सारांश	Six Sigma DMAIC is a data-driven, five-phase process improvement methodology — Define, Measure, Analyze, Improve, and Control — used to reduce defects and process variation to fewer than 3.4 defects per million opportunities. Originating at Motorola in the 1980s and systematized by practitioners including Pyzdek and Keller, it is widely adopted in manufacturing, healthcare, finance, and service industries seeking sustained quality gains.	Response Surface Methodology is a collection of statistical and mathematical techniques for building an empirical second-order polynomial model that relates a continuous response variable to two or more controllable input factors, and then locating the factor settings that optimize that response. The approach was introduced by George E. P. Box and K. B. Wilson in their landmark 1951 paper and has since become a cornerstone of process optimization across engineering, chemistry, food science, and pharmaceutics.