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🎯 Taguchi Design of Experiments
Orthogonal array · S/N ratio analysis · Main effects plot · Optimal combination prediction
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The Taguchi method uses orthogonal arrays to greatly reduce the number of runs, and uses the signal-to-noise (S/N) ratio to optimize both the mean and variation at the same time. Choose an array, enter factor names and levels, and the design is generated; after entering results, main effects and the optimal combination are analyzed automatically.
Select Orthogonal Array
S/N Ratio Characteristic
Factor names (comma separated)
📊 Analysis Overview
📋 Response Table (mean S/N at each level)
📈 Main Effects Plot
🏆 Predicted Optimal Combination

About Taguchi Design of Experiments

Taguchi DOE tool: L9/L16/L27 orthogonal arrays, inner/outer array cross-product design and S/N ratio analysis for robust parameter optimization.

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Design of Experiments (DOE) Response Surface Methodology Main Effects & Interaction Plots Mixture & D-Optimal Design Linear Regression
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