The first plain-English guide to solving real-world problems with Six Sigma So you're ready to improve your processes and products and satisfy your customers through Six Sigma--but you're not looking forward to navigating complicated statistics in order to get results. Now, Warren Brussee, a veteran Six Sigma manager who helped his teams generate millions of dollars in savings, explains how to use the powerful statistical tools of Six Sigma in easy-to-understand language. In this step-by-step guide, you get a thorough overview of the Six Sigma methodology and techniques for successful implementation, as well as a clear explanation of DMAIC--the problem solving method used by Six Sigma Greenbelts for projects and process improvements. You'll see how to plot, interpret, and validate data for a Six Sigma project. You will use Excel to make Six Sigma problem-solving calculations in a wide range of areas, from sales and marketing to manufacturing, process work, equipment design, and more. Each chapter also features a brief review of what you've learned. Plus, you
Warren Brussee began writing after retiring from GE, where he managed an engineering team and was trained in Six Sigma. Frustrated by overly complex resources, he authored Statistics for Six Sigma Made Easy, followed by two more books with McGraw-Hill. His interest in economic trends led to The Second Great Depression, later updated by Wiley as The Great Depression of Debt. He also published a children’s book, Laoch the Guide Dog Puppy, and a mystery novel, The Child Remover, showcasing his diverse writing interests across nonfiction, economics, and fiction.
This book should be called (the very simple easy way to introduce six sigma) this is not a real book to read about six sigma or even close to statistics about the topic.
A nice book about statistical concepts in relation to six-sigma methodology. It is good that first, you read statistics concepts before you take this book for better understanding of the text and for gaining maximum benefits. This book serves as the starter for 6-sigma concepts and almost touches basic to intermediate level of operations challenges with case studies in every chapter to let user understand the real implication of variability in processes and how to deal with powerful tools of statistics such as t-test, ANOVA, Chi-Square etc.
As the time gets closer for me to begin my Black Belt training, I am focusing more of my efforts on statistics. Statistics for Six Sigma Made Easy lives up to its name by providing straight forward explanations of various tools.
But even more than just a statistics book, the case studies and the "when to use it", make this a very practical book. I plan on keeping it handy as I work through my black belt training and project.