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| 하이브리드 식스 시그마 DMAIC× | 실험계획법× | |
|---|---|---|
| 분야 | 실험설계 | 실험설계 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1980s (Six Sigma); Hybrid/Lean integration widely adopted ~2000–2002 | 1935 |
| 창시자≠ | Hybrid formalized through Lean Six Sigma integration; foundational DMAIC rooted in Motorola's Six Sigma program (Bill Smith, Mikel Harry) | Ronald A. Fisher |
| 유형≠ | Process improvement and quality management framework | Experimental planning framework |
| 원전≠ | 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. link ↗ |
| 별칭 | Lean Six Sigma DMAIC, Hybrid DMAIC, Integrated Six Sigma DMAIC, DMAIC Hybrid Framework | DOE, experimental design, factorial experimentation, planned experimentation |
| 관련≠ | 2 | 3 |
| 요약≠ | 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. |
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