Fast-track innovation and process improvement with designed experiments
Can you use structured experiments to solve intractable problems and create novel products?
“Well, I can answer that question with a definitive yes,” says Peter Goos of KU Leuven.
Successful innovation and improvement involve hard work, many tests and experimentation. Goos explains why design of experiments (DOE) is a necessary approach for complex situations where you can’t rely on subject matter expertise alone, and haphazard experimentation often leads to suboptimal results.
Watch to learn about:
- The limitations of one-factor-at-a-time experimentation.
- The basics of DOE.
- Successful DOE case studies.
- The training required to conduct well-designed experiments.
Experts from Mahle, Symrise and Allnex share why they use DOE
Whenever there is more than one factor – that is, in almost all real-world situations – a design that changes just one factor at a time is inefficient. To properly uncover how factors jointly affect the response, you need to use DOE.
This panel of experts discusses the motivation for using DOE, common pitfalls and how to avoid them, and how to get started and convince your colleagues to embrace the methodology.
You’ll hear from:
- Peter Goos, Professor, KU Leuven
- Olaf Bürger, Quality Manager Systematic Improvement Process, Mahle
- Egon Gross, Biotechnology Engineer, Symrise
- Markus Schafheutle, Consultant and Former Global Improvement Manager, Allnex