Process / pipelineEngineering methods

Sensitivity Analysis with Six Sigma DMAIC

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.

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Sources

  1. Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., & Tarantola, S. (2008). Global Sensitivity Analysis: The Primer. Wiley. ISBN: 978-0470059975
  2. Harry, M., & Schroeder, R. (2000). Six Sigma: The Breakthrough Management Strategy Revolutionizing the World's Top Corporations. Doubleday. ISBN: 978-0385494378

Related methods

ScholarGateSensitivity Analysis with Six Sigma DMAIC (Sensitivity Analysis Integrated with Six Sigma DMAIC). Retrieved 2026-06-04 from https://scholargate.app/en/experimental-design/sensitivity-analysis-with-six-sigma-dmaic