Design of Experiments, DOE, is a rational and cost-effective approach to practical experimentation that allows the effect of critical process parameters to be assessed using only the minimum of resources. It is a statistical technique that optimizes resource utilization and extracts valuable information from experimental data. DOE empowers scientists to develop and optimize processes efficiently, leading to better product quality and reduced development costs.
Our training program offers a comprehensive advanced (Level 3) course in DOE utilizing MODDE® software. The objective of the Level 3 DOE course is to provide a deeper theoretical understanding of DOE. Here we address advanced topics, such as, a detailed account on the theory of fractional factorial design, how to accomplish advanced constraints, how to work with and modify the desirability function, and we also dive into the details of additional design families that are useful in screening and optimization.