Building the Six Sigma infrastructure Six Sigma goals and metrics Creating customer-driven organizations Training for Six Sigma Six Sigma teams Selecting and tracking Six Sigma projects Introduction to DMAIC and other improvement models Problem solving tools Basic principles of measurement Measurement systems analysis Knowledge discovery Statistical process control techniques Process capability analysis Statistical analysis of cause and effect Managing Six Sigma projects Risk assessment Design of experiments (DOE) Maintaining control after the project Design for Six Sigma (DFSS) Lean manufacturing and Six Sigma
Contains a 700-page guide to the quality tools and statistics that are the foundation for Six Sigma. This book provides an overview of the management goals, training issues involved in a Six Sigma implementation, and the underlying philosophy. It explains the problem-solving techniques and statistical tools most often used in Six Sigma.