Variation in the performance of an engineered system can come from sources including part-to-part variation, uncontrolled noise parameters, our own assembly processes, or from the design itself. According to Dr. Genichi Taguchi, robust design is the concept of reducing variation in the performance of a system without addressing the causes of variation. In short, using principles of robust design, we make the system insensitive to variation in low-level design parameters. SigmaPro’s Robust Design Principles and Applications course has been specifically developed to provide industrial Black Belts, Master Black Belts, product/process development engineers, and other technologists with a concise and applied treatment of the latest methods in robust design. Technical tools to accomplish robust design include requirements definition, qualitative decomposition, transfer function modeling for one or more responses, designed experiments using inner/outer arrays, probabilistic design, statistical tolerancing, and much more. To facilitate learning and increase knowledge retention, numerous hands-on examples and exercises will be covered in detail. A capstone exercise enables all participants to demonstrate their mastery of the robust design process from start to finish.