ROBUST DESIGN THROUGH EFFICIENT EXPERIMENTATION

Length: 3 Days

Course Goal
Upon completion of this course, the student will be able to use statistical experimentation to plan experiments for obtaining dependable information about variables, including any noise factors, to make optimized R&D decisions.

Course Description
In this course, participants will learn to apply Taguchi’s robustness concepts and techniques such as signal-to-noise ratio, as well as control and noise factors. Participants will use the Fundamental Principle to improve the quality of a product by minimizing the effect of the causes of variation without eliminating the causes.

Participants also construct experiments and apply computational and graphical methods to analyze and evaluate the significance of results. Group projects will help them apply concepts to case studies.

Who Should Take This Course
Any technical individual who would like to learn how to make optimum decisions from multi-factor experiments that incorporate noise variables.

Prerequisites
Introduction to Design of Experiments or equivalent knowledge.

Schedule and Location
This course will be taught on-demand at your facilities. If you do not have facilities that are suitable, VRDS can arrange facilities with the necessary equipment in the most convenient location for your students. Contact us for more information.

Customized Courses
VRDS will customize any course(s) or course schedule to suit the unique business requirements of our clients. Read more...

Contact Us
Contact us for more information on this or any other course we offer.