Precision Engineering meets AI Intelligence.
Transform your experimental chaos into scientific certainty with the world's most intuitive Taguchi Design of Experiments (DOE) workspace.
Engineering is often a battle against variance. Taguchi.Ai was built to give researchers, students, and industrial engineers a professional-grade "Minitab alternative" that lives in the browser.
Whether you are optimizing a chemical reaction, tuning a 3D printer, or engineering aerospace components, Taguchi.Ai helps you find the Robust Optimum with the fewest possible experiments.
Forget manual matrix lookups. Define your control factors, name your levels (e.g., 100°C, 200°C), and let the engine select the mathematically perfect Orthogonal Array (
- Result: A professional Hardware Map (Experiment Plan) that you can export to Excel or print for the lab.
Take your exported plan to the workbench. Conduct your trials following the scientific roadmap provided. No guessing, no wasted resources—just targeted data collection.
Paste your results directly into the dash. Taguchi.Ai instantly performs the complex math:
- S/N Ratio Analysis: Measure robustness against noise.
- ANOVA Decomposition: See which factor truly "moves the needle."
- Optimal Prediction: Get the exact "Secret Recipe" for your product's peak performance.
| Feature | Description |
|---|---|
| Orthogonal Arrays | Authenticated tables for |
| S/N Ratios | Support for Smaller-is-Better, Larger-is-Better, and Nominal-is-Best. |
| Full ANOVA | Calculation of |
| Mixed Levels | Advanced mapping for mixed resolution designs (like |
| Excel Export | One-click CSV generation for professional documentation. |
Taguchi.Ai is built with a decoupled architecture. The core mathematical engine (taguchiEngine.js) is a standalone, headless library.
- Portable: Import the engine into any JavaScript/Node.js project.
- Universal: Can be used to power IoT sensors, backend research servers, or mobile apps.
- Zero Dependencies: The math core is pure vanilla JS, ensuring it stays fast and future-proof.
- Engine: Custom research-grade JavaScript Mathematics Core (The "Brain").
- UI: Apple-inspired Glassmorphism with React & Vanilla CSS.
- Charts: Dynamic Main Effects plots via Recharts.
- Icons: Lucide-React Precision suite.
- Clone the Repo
git clone https://github.com/yourusername/taguchi-ai.git
- Install & Run
npm install npm run dev
- Launch
Open
http://localhost:5173and start optimizing.
Taguchi.Ai follows the G. Taguchi (1986) methodology for Robust Parameter Design. The Signal-to-Noise (S/N) formulas and ANOVA decompositions are verified against standard DOE benchmarks to ensure publication-ready accuracy.
Built with ❤️ for the Global Engineering Community.
Taguchi.Ai — Engineering the Future, One Run at a Time.