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

Capa
Springer Science & Business Media, 21 de mar. de 2006 - 530 páginas

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.

 

Páginas selecionadas

Conteúdo

Statistical Quality Control and Six Sigma 29
28
Define Phase and Strategy
45
Measure Phase and Statistical Charting
75
Analyze Phase
117
Improve or Design Phase
135
Control or Verify Phase
147
Advanced SQC Methods
161
SQC Case Studies 175
174
Robust Design 321
320
Regression
343
Advanced Regression and Alternatives 379
378
DOE and Regression Case Studies
401
DOE and Regression Theory 423
422
Optimization And Strategy
457
Tolerance Design 479
478
Six Sigma Project Design
483

SQC Theory
199
The Jewel of Quality Engineering
241
Screening Using Fractional Factorials 259
258
Response Surface Methods
285
Glossary 499
498
Problem Solutions
505
Index
523
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Sobre o autor (2006)

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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