Analyzing the results of a design of experiments is a crucial step in understanding and optimizing industrial processes. The software EllistatEllistat offers a powerful and intuitive analysis menu for interpreting DOE (Design of Experiments) results. Ellistat's analysis menu lets you explore the effects of factors, model responses, and optimize operating conditions. Here's a detailed explanation of the analysis menu in Ellistat.
To understand how the "Analysis" menu works. The following data set will be used: DOE Taguchi data
- Click on the "DOE"then click on the map "Analyze DOE.
- In the zone 1you can choose the name of the Y answer selected in the zone 2, choose the model calculation method, or change the results tabs.
- In zone 2, you can choose the response Y and the factors X. 📝: Choose "NC(%)" as Y and "temperature", "concentration" and "speed" as X.
- In zone 2, are reports, tables or graphics. The contents of zone 3 will depend on the tab selected in the zone 1.
💡 Zone 1 contains several tabs: ⇒ "Coefficient" tab: the diagram below summarizes the data presented.
⇒ "Effects graphs or Taguchi graphs" tab: these graphs are obtained only in the case of a Taguchi experimental design. They show the effects of factors and interactions.
⇒ "Model/observations graph" tab: allows you to graphically compare values obtained with the model and observed values.
⇒ "Residual analysis" tab: allows you to check the normality of residuals with the residuals descriptive statistics report.
⇒ "Residuals" tab: Table with various data such as individual residual values, model values or observed values.
⇒ "Forecast" tab: With this tool you can make forecasts or optimizations using the prediction menus (target, maximize or minimize).
⇒"3D" tab: displays the model in 3D or as a temperature graph.
