Introduction To Engineering Statistics And Six Sigma / Edition 1

Introduction To Engineering Statistics And Six Sigma / Edition 1

by Theodore T. Allen
     
 

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

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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:
04/01/2006
Edition description:
Older Edition
Pages:
552
Product dimensions:
1.19(w) x 6.14(h) x 9.21(d)

Table of Contents

1Introduction1
2Statistical quality control and six sigma29
3Define phase and strategy45
4Measure phase and statistical charting75
5Analyze phase117
6Improve or design phase135
7Control or verify phase147
8Advanced SQC methods161
9SQC case studies175
10SQC theory199
11DOE : the jewel of quality engineering241
12DOE : screening using fractional factorials?259
13DOE : response surface methods285
14DOE : robust design321
15Regression343
16Advanced regression and alternatives379
17DOE and regression case studies401
18DOE and regression theory423
19Optimization and strategy457
20Tolerance design479
21Six sigma project design483

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