Process / pipelineEngineering methods

Sensitivity Analysis-Integrated Design of Experiments

Sensitivity Analysis-Integrated Design of Experiments (SA-DoE) combines systematic experimental planning with formal sensitivity analysis to identify which input factors most strongly influence a response, then efficiently characterises those factors' effects. By embedding sensitivity screening into the DoE workflow, experimenters avoid wasting trials on inert variables and focus resources on the factors that truly drive system behaviour — making it especially valuable in simulation studies, product engineering, and complex process optimisation.

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Sources

  1. Saltelli, A., Tarantola, S., Campolongo, F., & Ratto, M. (2004). Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models. Wiley. ISBN: 9780470870938
  2. Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 9781119113478

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Referenced by

ScholarGateSensitivity analysis-integrated design of experiments (Sensitivity Analysis-Integrated Design of Experiments). Retrieved 2026-06-04 from https://scholargate.app/en/experimental-design/sensitivity-analysis-integrated-design-of-experiments