DOE in Practice
An advanced course about DOE. You will learn how to manage real life issues when designing and running experiments and some advanced techniques that will enable new powerful features of the DOE strategy and methodology. For example, you will learn how to optimise costs as well and reduce response variability through factors setting.
Topics include
- Analysis of response variation in factorial designs
- Optimisation of response variation
- DOE with covariate variables
- How to manage missing or unusual data in DOE
- Split Plot Designs for Hard to Change Factors
- Cost optimisation
- DOE with binary response
- Definitive screening designs
What you will be able to do
- Investigate the effect of a noise factors or covariate on the response
- Create and run a design with hard to change factors
- Optimize responses while minimizing cost or variability
- Analyze a DOE with a binary response
Duration
1 day.
Pre requisites
- Minitab Essentials
- Factorial Designs
Audience
Research and develop professionals, process and product engineers.
