Overview
- Only book that concisely and clearly explains Six Sigma and other engineering statistics methods, with case studies from industry showing how the methods have been used to save millions of dollars
- Includes supplementary material: sn.pub/extras
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Table of contents (21 chapters)
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Front Matter
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Introduction
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Statistical Quality Control
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Front Matter
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Design of Experiments (DOE) and Regression
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Front Matter
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Keywords
About this 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.
Reviews
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)
Authors and Affiliations
About 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).
Bibliographic Information
Book Title: Introduction to Engineering Statistics and Six Sigma
Book Subtitle: Statistical Quality Control and Design of Experiments and Systems
Authors: Theodore T. Allen
DOI: https://doi.org/10.1007/1-84628-200-4
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London 2006
eBook ISBN: 978-1-84628-200-3Published: 21 March 2006
Edition Number: 1
Number of Pages: XXII, 530
Number of Illustrations: 114 b/w illustrations
Topics: Engineering Economics, Organization, Logistics, Marketing, Computational Intelligence, Operations Research/Decision Theory, Organization, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Statistics for Business, Management, Economics, Finance, Insurance