Introduction To Engineering Statistics And Six Sigma / Edition 1

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Overview

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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Product Details

  • ISBN-13: 9781852339555
  • Publisher: Springer-Verlag New York, LLC
  • Publication date: 4/1/2006
  • Edition description: Older Edition
  • Edition number: 1
  • Pages: 552
  • Product dimensions: 1.19 (w) x 6.14 (h) x 9.21 (d)

Meet the Author

Dr Theodore Allen is an associate professor in Industrial and Systems Engineering at The Ohio State University and a co-founder of the software company, Sagata Ltd. He is a senior member of the American Society of Quality and an associate editor of The Journal of Manufacturing Systems (Elsevier).

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Table of Contents

1 Introduction 1
2 Statistical quality control and six sigma 29
3 Define phase and strategy 45
4 Measure phase and statistical charting 75
5 Analyze phase 117
6 Improve or design phase 135
7 Control or verify phase 147
8 Advanced SQC methods 161
9 SQC case studies 175
10 SQC theory 199
11 DOE : the jewel of quality engineering 241
12 DOE : screening using fractional factorials? 259
13 DOE : response surface methods 285
14 DOE : robust design 321
15 Regression 343
16 Advanced regression and alternatives 379
17 DOE and regression case studies 401
18 DOE and regression theory 423
19 Optimization and strategy 457
20 Tolerance design 479
21 Six sigma project design 483
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