Build a design of experiments with just a few clicks

ELLISTAT is user-friendly design of experiments (DOE) software with an automatic interface that helps guide you to set up a DOE in a flash, with no prior knowledge required.

All you need to do is run the tests

When you want to understand how a process or a machine functions, you must do some experimentation. The best way to do this is by setting up a design of experiments, and even better, having DOE software to guide you.

Thanks to ELLISTAT’s exclusive DOE builder module, it will guide you while setting up your design of experiments with no previous knowledge or experience required. There’s only one step:

  1. Define the factors and interactions that you want to examine.

Then sit back and let Ellistat create the most suitable design for your situation.

You can set up a design of experiments with up to 19 factors in just a few clicks and the application of results will automatically be done. 2-level designs, Taguchi designs, multi-level desings, response surface desings, definitive screening designs… Ellistat can do it all.

Design of experiments result

Design of experiments software like you’ve never seen before


Automatic builder module

Creating a design of experiments is a walk in the park thanks to the automatic builder module.

Application of results

The application of results is performed automatically and and you can also get a prediction of results for a specific configuration in one click.

Optimizing several responses

It’s rare to only have one response to optimize.
ELLISTAT is adept at managing and optimizing several responses at once.

Setting up a design of experiments

ELLISTAT’s design of experiments software has an exclusive design creation engine. It can find the design with the best possible strategy regarding a structure of given factors and interactions.

All you need to do to create a design of experiments is:

  1. Define the factors and interactions that you want to study.

And that’s all, Ellistat will automatically propose the most adapted design for your problem. For those with more experience, if you want you can modify the design by using the intuitive interface.

You can therefore set up a design of experiments with up to 19 factors in just a few clicks and the application of results is performed automatically.

Setting up a design of experiments with Ellistat
Ellistat's DOE builder

Entering test results

Test results can be entered anywhere in the spreadsheet.

In case the design has several responses to optimize, you can enter as many columns as there are responses.

In case you repeat the tests, you can put several columns side by side.

Analyzing your design of experiments

ELLISTAT gives you the option to have several windows so that you can properly interpret your test results.

The most visual window is the graph of effects. It shows the effects of all the chosen table’s columns with different graphs. This allows you to see interactions that you may have not selected to study.

In case several responses were entered, it’s possible to open several analysis windows to examine them all together.

Taguchi graphs, design of experiments
DOE result predictions

Predicting a response

This function allows ELLISTAT to:

  • calculate the predicted response for a configuration of factors;
  • find the level of a factor to get a given response.

In order to calculate a predicted response, all you need to do is place the factors’ cursors on the reserved level and the calculation of the theoretical response will be displayed in the response prediction cell.

And there’s more

ELLISTAT lets you go even further in analyzing results by displaying:

  • the X Pareto for determining the most influential factors
  • the significance of each factor (analyzing the significance table is easy thanks to the colorful decision-making helper)
  • the Observation vs. Prediction chart that helps you see the prediction’s accuracy
  • the residue chart
  • the interaction chart
  • a 3D graph of the prediction.

And last but not least, ELLISTAT’s DOE software has an optimization module. With this function, you can automatically find the best configuration according to your objective for the response. You can also simultaneously optimize several completed responses with this design of experiments.

Analyze DOE results

Take it one step further – Learn to use Ellistat with these videos

Analyzing and setting up a design of experiments

Analyze results from a plan of experiments

Optimize several responses

Set up a response surface design

Set up a multi-level design

Set up a Taguchi design

Download the trial version

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