Design Of Experiments (DoE) Training in Madrid, Spain

This course provides a structured introduction to Design of Experiments (DoE), a statistical methodology used to plan, conduct, analyze, and interpret controlled tests to evaluate the factors that control the value of a parameter or group of parameters. Participants will learn how to optimize processes, identify key factors, and increase efficiency using DoE techniques across engineering, manufacturing, research, and business environments.

Course Agenda:

Introduction and Fundamentals of DoE

• Overview of experimental design and its importance

• Basic statistical concepts for DoE

• Components of an experiment (factors, levels, responses, noise)

• Completely randomized design and randomized block design

Factorial and Fractional Factorial Designs

• Full factorial design (2^k and 3^k)

• Main effects and interaction effects

• Confounding and alias structures

• Fractional factorial designs and resolution levels

Advanced Designs and Applications

• Response surface methodology (RSM)

• Central composite and Box-Behnken designs

• Screening experiments (Plackett-Burman design)

• DoE in Six Sigma and Lean environments

• Case studies and best practices

Hands-on Exercises