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Forge DOE

AI-powered Design of Experiments for process engineers. Full/fractional factorial, Taguchi, Plackett-Burman designs, ANOVA analysis, AI design recommendation and result interpretation — all offline.

Key Features

Professional DOE toolkit — from factor screening to optimization.

4 Design Types

Full factorial (2^k), fractional factorial, Taguchi orthogonal arrays, and Plackett-Burman screening. Step-by-step wizard guides factor definition, design selection, and run table generation.

ANOVA Analysis

Full ANOVA table with sum of squares, degrees of freedom, F-values, and p-values. Identifies statistically significant main effects and interactions at a glance.

AI Design Recommendation

Local LLM analyzes your factors and objectives to recommend the optimal experimental design. No data leaves your machine — fully offline AI.

AI Result Interpretation

AI interprets ANOVA results in plain language — significant factors, interactions, model fit, and practical recommendations for process optimization.

Taguchi Robust Design

Signal-to-noise ratio analysis for robust parameter design. Minimize variation while optimizing performance with orthogonal array experiments.

Run Table & Data Entry

Auto-generated run table with randomized run order. Paste response data directly from Excel (Ctrl+V). Multiple response variables supported.

Cross-App Integration

Export optimal conditions to Forge SPC as control baselines. Send significant factors to Forge FMEA as cause references. All via .fex file exchange.

PDF & Excel Export

Professional PDF reports with experiment summary, ANOVA table, and effect analysis. Multi-sheet Excel workbooks with design matrix, results, and ANOVA.

Rust WASM Engine

Design generation and ANOVA computations powered by Rust WASM (u-doe). Instant calculations without IPC delay — real-time preview as you enter data.

Pricing

Try every feature for free. License removes all limits.

Free
$0
Forever

All DOE features including AI — with factor and run limits.

  • All 4 design types
  • ANOVA analysis
  • AI design recommendation & interpretation
  • PDF & Excel export
  • Up to 3 factors / 16 runs per experiment
  • Watermarked output
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