Methoden vergelijken

	Multi-respons Six Sigma DMAIC	Six Sigma DMAIC
Vakgebied	Experimenteel ontwerp	Kwaliteitsmanagement
Familie	Process / pipeline	Process / pipeline
Jaar van ontstaan	2000s–2010s (applied integration era)	2014
Grondlegger	Extension of Six Sigma DMAIC (Motorola/Mikel Harry); multi-response adaptation developed by quality engineering community	Motorola; Pyzdek & Keller
Type	Process improvement methodology with multi-objective optimization	Structured process improvement methodology
Oorspronkelijke bron	Harry, M., & Schroeder, R. (2000). Six Sigma: The Breakthrough Management Strategy Revolutionizing the World's Top Corporations. Doubleday. ISBN: 978-0385494090	Pyzdek, T., & Keller, P. (2014). The Six Sigma Handbook (4th ed.). McGraw-Hill. ISBN: 978-0-07-184053-9
Aliassen	MR-DMAIC, multi-response DMAIC, multi-criteria Six Sigma, multi-objective DMAIC	DMAIC Framework, Six Sigma Process Improvement Cycle, Define-Measure-Analyze-Improve-Control, Altı Sigma DMAIC
Verwant	5	3
Samenvatting	Multi-response Six Sigma DMAIC extends the classic Define-Measure-Analyze-Improve-Control framework to situations where a process must satisfy several quality characteristics simultaneously. Rather than optimizing a single output, the methodology integrates multi-response optimization techniques — such as desirability functions, TOPSIS, or weighted signal-to-noise ratios — within the Analyze and Improve phases to identify factor settings that jointly meet all quality targets.	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.