At this course you will be introduced to the DOE (Design of Experiments) method. Through DOE you will learn to find the factors that affect your problem the most. It is a method that includes both planning, analysis and execution of controlled testing, which, through statistical calculations, give you an overview of the factors/causes that are important to your problem – and therefore, the ones you need to work on.
DOE is a form of cause/effect analysis that can be performed through few controlled tests. No more random testing to find reasons for the problem. No more endless resources to test all possible causes of a problem. The DOE method tests everything for you, you just need to learn how to master the method.
The course is an introduction to DOE (Design of Experiments), followed by DOE 2, where the statistical level is increased.
Target Group for DOE
You could be employed in a development function, work with quality assurance or improvement of processes in general. You need to conduct more advanced statistical analyses that can provide help developing and optimizing your products or processes.
If you are in the process of training as Six Sigma Green or Black Belt this course will be one of the optional modules. It helps you to use the data approach in your practical DMAIC project – Especially if you have a project that is data heavy.
What will you learn?
- You can plan and perform testing through the method Design of Experiment (DOE).
- You can find critical factors in screening through DOE.
- You can analyze and optimize process output by using DOE with the Response Surface Method.
- You will be capable to interpret on the results from the DOE.
- You can model data through model reduction – so your data is easier to analyze.
Content in bullets
- Screening tests of critical factors through DOE
- Model reduction – modelling from historic data
- DOE (Design of Experiments) – Response Surface Model
It is a prerequisite that you have downloaded either SAS JMP or Minitab (statistical programs) on your own PC before the start of the course. We recommend using the SAS JMP statistics program, but if you or your company already work in Minitab, we naturally support this choice.
This course can be extended with one additional module within DOE, where the level is higher:
If you would like further focus on developing performance and processes, you can seek more methodical inspiration in the module on Design for Six Sigma, DfSS or the module Quality Function Deployment, QFD where the actual customer requirements for a new process are mapped, operationalized and the building blocks for a future process are created.