EC-413 - Die Cast Problem Solving
A two-day course designed to solve difficult die cast problems that cant be solved through conventional process engineering methods.
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.
Die Cast Problem Solving
Corresponding Online Courses:
Basic Statistics and Problem Solving Methods
Experimental Design Basics and Examples