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六西格玛DMAIC的敏感性分析×Robust Six Sigma DMAIC×
领域实验设计实验设计
方法族Process / pipelineProcess / pipeline
起源年份2000s–2010s (applied integration era)1990s–2000s (integration period)
提出者Integration of Six Sigma DMAIC (Motorola / Mikel Harry, 1980s–2000) with sensitivity analysis techniques (Saltelli et al., 1990s–2000s)Motorola (Six Sigma, 1986); Taguchi robust design integrated into DMAIC by quality engineering practitioners in the 1990s–2000s
类型Hybrid process-improvement and uncertainty-quantification pipelineHybrid process improvement and robust engineering methodology
开创性文献Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., & Tarantola, S. (2008). Global Sensitivity Analysis: The Primer. Wiley. ISBN: 978-0470059975Antony, J. (2006). Six Sigma for service processes. Business Process Management Journal, 12(2), 234–248. DOI ↗
别名SA-DMAIC, DMAIC sensitivity analysis, sensitivity-informed Six Sigma, Six Sigma sensitivity integrationRobust DMAIC, Six Sigma with Robust Design, Taguchi-integrated DMAIC, R-DMAIC
相关54
摘要Sensitivity analysis integrated with Six Sigma DMAIC augments the classic Define-Measure-Analyze-Improve-Control cycle with formal quantification of how much each input variable contributes to output variation. By embedding local or global sensitivity indices inside the Analyze phase, practitioners move beyond correlation screening to rigorously rank which process factors drive defect rates, guiding improvement resources to where they matter most.Robust Six Sigma DMAIC embeds Taguchi's robust design philosophy within the classic Define-Measure-Analyze-Improve-Control framework. Rather than optimizing a process only for average performance, this hybrid approach simultaneously minimizes process variation caused by noise factors — environmental shifts, material lot differences, operator variability — so that the outcome remains near target even when uncontrollable conditions change. The result is a process that is both capable and insensitive to real-world disturbances.
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ScholarGate方法对比: Sensitivity Analysis with Six Sigma DMAIC · Robust Six Sigma DMAIC. 于 2026-06-19 检索自 https://scholargate.app/zh/compare