This course is specifically designed for die casting by focusing on the interactive nature of the die casting process. The course teaches logical and statistical methods that do not require a strong mathematics background. Prerequisites for this course are a basic understanding of algebra and statistical concepts such as standard deviation and variation. The course includes concepts from the following sources: Dorian Shainin-Statistical Engineering; Ford Motor Co.-Team Oriented Problem Solving; Box, Hunter and Hunter-Statistics for Experimenters; General Motors Co.-Problem Solving Basics; and Taguchi-Design of Experiments. The course will enable improved, data-driven process decision making; promote statistical thinking in regard to process variation; develop an objective defect ranking system for a subjective defect; correlate the process to the defect without preconception.