This course will reinforce the concepts covered in the introductory DOE course and take you to the next level of understanding to optimize your ability to choose the best designs for the diversity of situations and challenges you will confront. You will be able to lead teams in designing powerful studies of cause and effect and the discovery of solutions to complex problems or improvement challenges. You will learn to maximize the use of resources with the application of fractional factorial designs and be able to design and interpret studies of the non-linear relationships that inevitably occur at some point in all processes. You will be able to find the true optimum solution with response surface methodologies, and will learn concepts and practice the applications with live and simulated designed experiments.
Introduction to Design of Experiments (SS505) or equivalent knowledge is recommended. This includes knowledge and understanding of how to design and analyze three-factor factorial experiments, basic statistical concepts such as distributions, sample statistics and the central limit theorem. Prior training in regression analysis and hypothesis testing isn’t required as we teach the applicable principles as part of this course; however, they provide an excellent preparation.