The Design of Experiments training shows how to plan and analyze experiments more efficiently than traditional one-factor-at-a-time testing. Participants identify main effects and interactions and derive robust process settings
The Design of Experiments training shows how a small number of carefully planned experiments can generate reliable knowledge about factors, interactions and optimum settings. Participants work with full and fractional factorial designs, screening designs, regression and response surface methods
DOE fundamentals
Factorial designs
Screening designs
Response surface and optimization
23.11.2026 – 25.11.2026
On-site | 16 seatsExperimental design is developed around realistic questions: selecting factors, creating a suitable design, evaluating effects and defining a robust process window. The emphasis is on correct interpretation rather than simply operating software
Examples can be worked through with JMP, Minitab or comparable software