Many have heard that six sigma methods are necessary to survive, let alone thrive, in today's competitive markets, but are not really sure what the methods are or how or when to use them. Introduction to Engineering Statistics and Six Sigma contains precise descriptions of all of the many related methods and details case studies showing how they have been applied in engineering and business to achieve millions of dollars of savings. Specifically, the methods introduced include many kinds of design of experiments (DOE) and statistical process control (SPC) charting approaches, failure mode and effects analysis (FMEA), formal optimization, genetic algorithms, gauge reproducibility and repeatability (R&R), linear regression, neural nets, simulation, quality function deployment (QFD) and Taguchi methods. A major goal of the book is to help the reader to determine exactly which methods to apply in which situation and to predict how and when the methods might not be effective. Illustrative examples are provided for all the methods presented and exercises based on case studies help the reader build associations between techniques and industrial problems. A glossary of acronyms provides familiarity with six sigma terminology and solutions to homework and practice exams are included.

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"A basic introduction to six sigma concepts, this book provides added depth to some statistical concepts. Theodore Allen uses a wide variety of example types to show the value of tools ranging from administrating medication in a hospital to welding with robotics. ... One of the main points that Allen makes throughout the book is that, you do not need to understand all the theory behind the statistics to benefit from these tools.

I recommend this book."

(Roger Sauter, Boeing, in Technometrics, Vol. 49 (2), 2007)

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