The Design of experiments is the backbone of any product design as well as any process/product improvement efforts. Successful companies today use design of experiments to do market research, product development, manufacturing, and to resolve quality-reliability/ customer service issues.  Design of experiments is the common sense to a good business.

Course Objectives

� Know when DOE is the appropriate to use

� Understand how you can save money and why  DOE�s are  economical

� Be able to setup and analyze experiments

� Be familiar with Analysis of Variance (ANOVA), p-values, confidence levels

� Understand key elements of one & Two factor experiments

� Know how to use DOE to select appropriate variables

� Have understanding of commonly experimental designs

� Be able to develop experiments using Response Surfaces & Optimal designs, Robust Designs

Who Should Attend?
Six Sigma Master Black Belts/Black Belts/Green Belts, consultants, SPC facilitators, quality managers and engineers, reliability engineers, process engineers, chemical engineers, mechanical engineers, data scientists, industrial engineers, process engineers, product engineers, chemists, design engineers, R&D managers, and environmental engineers, healthcare specialists, data mining engineers, data designers, IT professionals.