Comparar métodos

	Six Sigma DMAIC Híbrido	Desenho de Experimentos
Área	Delineamento experimental	Delineamento experimental
Família	Process / pipeline	Process / pipeline
Ano de origem	1980s (Six Sigma); Hybrid/Lean integration widely adopted ~2000–2002	1935
Autor original	Hybrid formalized through Lean Six Sigma integration; foundational DMAIC rooted in Motorola's Six Sigma program (Bill Smith, Mikel Harry)	Ronald A. Fisher
Tipo	Process improvement and quality management framework	Experimental planning framework
Fonte seminal	George, M. L. (2002). Lean Six Sigma: Combining Six Sigma Quality with Lean Speed. McGraw-Hill. ISBN: 978-0071385213	Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd.
Outros nomes	Lean Six Sigma DMAIC, Hybrid DMAIC, Integrated Six Sigma DMAIC, DMAIC Hybrid Framework	DOE, experimental design, factorial experimentation, planned experimentation
Relacionados	2	3
Resumo	Hybrid Six Sigma DMAIC combines the rigorous five-phase DMAIC cycle (Define, Measure, Analyze, Improve, Control) with complementary methodologies — most commonly Lean principles, Agile practices, or Design Thinking — to address quality defects and process inefficiencies simultaneously. By integrating speed-focused tools from Lean with the statistical discipline of Six Sigma, hybrid approaches close the gap that pure Six Sigma frameworks sometimes leave when waste elimination and cycle-time reduction are equally critical goals.	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.