Design of Experiments and Optimization
The aim of the course is to provide participants with both theoretical and practical knowledge in (statistical) experimental design and process/ product optimization. Participants will obtain knowledge on the major strategies, factors and pitfalls in designed investigations performed in industry, better understand and optimize production systems and/ or products in a time-efficient/minimal-resources way.
The course will enable the participant to:
- Sound and corrected statistical inference (“statistical decision making”) from data.
- Conduct full and fractional factorial plus other classical experimental investigations.
- Conduct constrained experimental investigations (hierarchical, split-plot, computer generated, etc.).
- The rules, requirements, boundaries and guidelines of statistical experimentation and process optimization.