Introduction to Engineering Statistics and Six Sigma
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Introduction to Engineering Statistics and Six Sigma: Statistical Quality Control and Design of Experiments and Systems

Introduction to Engineering Statistics and Six Sigma: Statistical Quality Control and Design of Experiments and Systems


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About the Book

It is said that six sigma methods are vital to survive, let alone thrive, in today's competitive markets, but what are these methods and how or when do we use them? This book describes related methods and details case studies showing how they've been applied in engineering and business to save millions of dollars. These methods include: 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. The aim is to help the reader determine which methods to use in which scenario and to predict the effectiveness of these methods. Illustrative examples support all methods presented and case-study based exercises help the reader associate techniques with industrial problems. A glossary of acronyms is provided in addition to solutions to homework and practice exams.

Table of Contents:
List of Acronyms.- Introduction.- Part I: Statistical Quality Control: Statistical Quality Control and Six Sigma.- Define Phase and Strategy.- Measure Phase and Statistical Charting.- Analyze Phase.- Improve or Design Phase.- Control or Verify Phase.- Advanced SQC Methods.- SQC Case Studies.- SQC Theory.- Part II: Design of Experiments (DOE) and Regression: DOE: The Jewel of Quality Engineering.- DOE: Screening Using Fractional Factorials.- DOE: Response Surface Methods.- DOE: Robust Design.- Regression.- Advanced Regression and Alternatives.- DOE and Regression Case Studies.- DOE and Regression Theory.- Part III: Optimization and Strategy: Optimization and Strategy.- Tolerance Design.- Six Sigma Project Design.- Glossary.- Problem Solutions.- Index.

Review :
From the reviews: "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. a ] 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. (Roger Sauter, Boeing, in Technometrics, Vol. 49 (2), 2007) From the reviews: "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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Product Details
  • ISBN-13: 9781852339555
  • Publisher: Springer London Ltd
  • Publisher Imprint: Springer London Ltd
  • Height: 235 mm
  • Returnable: N
  • Sub Title: Statistical Quality Control and Design of Experiments and Systems
  • Width: 155 mm
  • ISBN-10: 1852339551
  • Publisher Date: 26 Sep 2006
  • Binding: Hardback
  • Language: English
  • Spine Width: 30 mm
  • Weight: 948 gr


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Introduction to Engineering Statistics and Six Sigma: Statistical Quality Control and Design of Experiments and Systems
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