The Experimental Design Online application is managed by ILSSI Strategic Partner the Scandinavian Institute of Business Analytics SCANBA . The application is free to use and does does not store or record any data.
1. Factors and Levels
Enter your experimental design variable names (factors) and values (levels). Examples of factors are ‘color’, ‘size’, ‘shape’, etc. Examples of levels are ‘red’ and ‘blue’ for ‘color’; 10, 20, 30 for ‘size’; ‘square’ and ‘round’ for ‘shape’.
2. DoE Table
Select the number of measured responses and DoE types. Enter your responses into the DoE table. Use the ‘Settings’ button to set up the particular design.
3. Factor Analysis
Study the effect size for each factor and response breakdown.
4. Regression Model
Select the regression model and create it by pressing the ‘Create the Model’ button. Study the statistics.
Use the buttons to find factor levels for minimum and maximum possible responses. Use sliders to fine-tune the response values.
This free downloadable PDF Design of Experiments for Dummies by Willy Vandenbrands gives a clear high level overview of DOE in terms that are easy to understand. For example the following guidelines are given for running any DOE.
1. Write down the question(s) you want the experiment to answer.
Define the problem.
2. Characteristics that are not part of the study also need to fulfill requirements.
It’s not beneficial to solve one problem or improve one aspect and, at the same time,
create three new problems or deteriorate several other characteristics.
3. Make sure you have a reliable measurement system. Be aware of the importance of the variation introduced by the measurement system and keep it to a minimum.
4. Use statistics and statistical principles up front. Before starting a test, you must determine the appropriate sample size because you will use the sample result to draw conclusions for the behavior of the population.
5. Beware of what goes on during testing.
6. Analyze the results statistically.
7. Present the results graphically.
Using Design of Experiments (DOE) techniques, you can determine the individual and interactive effects of various factors that can influence the output results of your measurements. You can also use DOE to gain knowledge and estimate the best operating conditions of a system, process or product.
DOE applies to many different investigation objectives, but can be especially important early on in a screening investigation to help you determine what the most important factors are. Then, it may help you optimize and better understand how the most important factors that you can regulate influence the responses or critical quality attributes.
Another important application area for DOE is in making production more effective by identifying factors that can reduce
material and energy consumption or minimize costs and waiting time. It is also valuable for robustness testing to ensure quality before releasing a product or system to the market.