The theory of classical Design of Experiments (DOE) was developed around 1920. An important contribution was made by R.A.Fishe, the father of Analysis of Variance and in who's honour the F-test was named (hypothesis test for comparing variances).

QS Consult view and approach

In our course on classical DOE we pay a lot of attention on how to set up a test and on understanding and interpreting the statistical results of a test. Our training "Classical DOE" guides you in eight steps from problem description to final report.

1. Problem description
   
   
2. Multidisciplinary discussion
   
   
3. Selecting the correct test design
   
   
   
   
   
   
4. Setting up a test protocol
   
   
5. Performing the tests
   
   
6. Analyzing the test results
   
   
7. Conclusions
   
   
8. Final report

Services offered

• Classical DOE training as explained above.
  
  
• Expanison of the course to more complex designs and analysis of variation.
  
  
• Consulting on setting up, executing and analyzing tests. 

Additional information

• QS Consult can expand the training on classical DOE with a part on Taguchi Quality Engineering.
  
  At the 54th Annual Quality Congress (May 2000) in Indianapolis we gave a speech titled: "Make Love, Not War: Combining DOE and Taguchi" (Pdf).
  
  
• SPC in Paint Application: Mission Impossible?(pdf)
  
  Presentation at the 52nd Annual Quality Congress – 1998. This article gives and example of the integration of SPC and DOE in a complex process. With thanks to Volvo Cars Ghent.
  
  
• If you limit yourself to tests at two levels with a maximum of 4 factors, you can use “Eenvoudig worksheet DOE” (Excel 2003) to set your first steps in DOE.