Taguchi Design Calculator
Create a Taguchi design online with the numiqo Taguchi Design Calculator. Select Taguchi Design in the calculator, enter the number of factors, define the factor levels, and choose a suitable orthogonal array. The generated experimental plan can then be randomized and exported to Excel.
What is a Taguchi design?
A Taguchi design is a structured design of experiments (DoE) method. It uses orthogonal arrays to study several factors with fewer experimental runs than a comparable full factorial design. This makes Taguchi designs useful when experiments are time-consuming or expensive.
Each row of the selected orthogonal array represents one experimental run. Each column represents a factor, and the values in the column determine which factor level is used in that run. Because the combinations are arranged systematically, the experiment can provide balanced information about the main effects of the factors.
How to create a Taguchi design online
- Select Taguchi Design under Specialized designs.
- Choose the number of factors you want to investigate.
- Enter a name for each factor and set the required number of levels.
- Enter the actual level values, such as temperatures, materials, or machine settings.
- Select one of the available orthogonal arrays.
- Add replicates if you want to repeat the complete design.
- Randomize the run order and export the experimental plan to Excel.
The calculator automatically shows orthogonal arrays that can accommodate your selected factor levels. Available arrays include designs for two-level, three-level, four-level, five-level, and selected mixed-level experiments.
When should you use a Taguchi design?
Taguchi designs are a practical choice for efficient factor screening and robust parameter design. They are especially useful when you want to compare multiple process settings while keeping the number of tests manageable.
- Reduce the number of experimental runs compared with a full factorial design.
- Study several controllable factors in a balanced experimental plan.
- Compare two-level, multi-level, or selected mixed-level factor combinations.
- Use replicates when repeated measurements are needed to estimate variation.
- Export a clear run sheet for laboratory, production, or engineering experiments.
Taguchi design, full factorial design, or screening design?
Use a Taguchi design when an orthogonal array fits your factor-level structure and your goal is an efficient, balanced study of main effects. Use a full factorial design calculator when you need every possible factor combination. For early-stage screening with many two-level factors, a Plackett-Burman design or fractional factorial design may be more appropriate.
Start your Taguchi experiment
Use the Taguchi Design Calculator above to create your orthogonal array and experimental run plan. After carrying out the experiments, enter the measured response values in the analysis section to evaluate your results.