Design of Experiments

This course offers an introduction to quality improvement methods grounded in statistical analysis, focusing on the Design of Experiments (DOE) in industrial settings. Through observational methods and factorial designs, students learn to identify key factors influencing outcomes and analyze sources of variation in processes. Factorial designs involve conducting experimental runs at various combinations of factor levels, allowing for a thorough understanding of individual and interactive effects between factors. DOE is essential because it enables efficient experimentation, optimizing processes and guiding informed decisions in product development, manufacturing, and other data driven processes. Mastering these tools allows engineers to validate models and predict performance with greater accuracy.

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