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Sensitivity analysis with root cause analysis/Evidence
Method evidence record

Sensitivity analysis with root cause analysis

Sensitivity Analysis with Root Cause Analysis (SA-RCA) is an integrated engineering method that first quantifies how much each input parameter or process variable drives variability in a system output, then applies structured root cause analysis to the most influential factors to identify and eliminate the underlying failure mechanisms. The combination transforms numerical rankings of influence into actionable diagnoses, making it particularly effective in quality engineering, reliability analysis, and process improvement contexts.

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Sensitivity Analysis Integrated with Root Cause Analysis
Taxonomic method record · process-pipeline / experimental-design
  • Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., & Tarantola, S. (2008). Global Sensitivity Analysis: The Primer. John Wiley & Sons. · ISBN 978-0470059975
  • Andersen, B., & Fagerhaug, T. (2006). Root Cause Analysis: Simplified Tools and Techniques (2nd ed.). ASQ Quality Press. · ISBN 978-0873896924
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Related methods

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Taxonomic bucketDesign of experimentsmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFailure Mode and Effects Analysismachine-suggested · Relational suggestion, not evidence.Same method familyFault Tree Analysismachine-suggested · Relational suggestion, not evidence.See alsoMONTE-CARLO-SIMULATIONmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

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2 recorded citations, copied from the method source record.

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