Ebook Reducing Process Variation: Using the DOTSTAR Problem-Solving Strategy. By Davis R. Bothe
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Reducing Process Variation: Using the DOTSTAR Problem-Solving Strategy. By Davis R. Bothe
Ebook Reducing Process Variation: Using the DOTSTAR Problem-Solving Strategy. By Davis R. Bothe
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- Sales Rank: #3330111 in Books
- Published on: 2002-05-17
- Original language: English
- Binding: Hardcover
- 1136 pages
Review
"I am a dedicated DOTSTAR problem solver. This book will help me teach others this very important strategy." -- Chris Taylor, Caterpillar, Inc.
Bothe's strategy is so powerful, yet so easy to apply! -- Steve Wise, Partner, InfintyQS Software
This is one of the best books on problem solving that I have seen in my career. -- Chris Taylor, Quality, Caterpillar, Inc.
From the Publisher
Many companies have adopted the "six-sigma" philosophy for improving their operations. With this approach, a company selects its brightest people, sends them to several weeks of intensive training, and then assigns them to work on process improvement projects.
But what about the company’s remaining personnel? This book is the first we have seen that illustrates how this untapped resource can also be transformed into effective problem solvers. Relying only on the use of simple, graphical statistical tools (there are over 1,000 illustrations), Dave Bothe’s DOT*STAR strategy provides a straight forward, step-by-step, logical methodology for solving chronic quality problems in manufacturing and assembly operations.
Because the DOT*STAR strategy is much less complicated, almost everyone on the shop floor can quickly learn this proven approach with just a few days, not weeks, of training. With more people working on process improvement, more problems will be solved in less time, thus giving your company a valuable, and powerful, competitive advantage.
In addition to the above reasons, we are excited about this book because it offers the most extensive information we have seen on multi-vari charts, comparison testing, component swapping, and the analysis of means (a full chapter is dedicated to each of these topics). Also covered are randomizing, quantifying attribute data, creating solution FMEAs, and a simplified, yet comprehensive, method for conducting hypothesis tests. Finally, Bothe’s book introduces several new graphical analysis techniques, such as isograms and multi-grams.
We believe that no book on the market offers as much problem-solving power per page as Reducing Process Variation.
From the Author
As a consultant, I am frequently hired by manufacturing companies to help them solve chronic quality problems. After working on many such projects, I realized we went through a fairly similar sequence of steps to zero in on the major cause of process variation. I began writing down these steps, refining them over the years until they evolved into the DOT*STAR problem-solving strategy that is featured in my latest book.
Although there are many strategies available for resolving a wide variety of problems, the DOT*STAR strategy is specifically designed for solving chronic quality problems in manufacturing, primarily for processes involving machining, fabrication, and assembly. I believe this focus on a certain area is one of the reasons why this approach is so very effective, yet easy to apply, even for small to medium sized companies. You will discover this strategy is not just a collection of statistical tools, but a structured set of operating instructions detailing how to systematically apply these tools in the correct sequence, and at the proper time, to help you uncover a major source of process variation.
Because this book was written for those who must resolve quality problems on the shop floor, I limited the statistical techniques presented in the book to those that are easy to understand. Thus, an extensive knowledge of statistics is not required to successfully apply them. Readers with a good understanding of basic control charting methodology will have no difficulty comprehending any of the techniques.
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