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

Allen, Theodore T.

ISBN 10: 1852339551 ISBN 13: 9781852339555

Verlag: Springer, 2006

Sprache: Englisch

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First Edition, 2nd Printing. Published by Springer, 2006. Octavo. Pictorial boards. Book is like new; clean with no writing or names. Sharp corners and spine straight. Binding tight and pages crisp. A fine copy of this introduction to six sigma and other mathematical techniques for managing businesses. 528 pages. ISBN: 9781852339555. 100% positive feedback. 30 day money back guarantee. NEXT DAY SHIPPING! Excellent customer service. Please email with any questions or if you would like a photo. All books packed carefully and ship with free delivery confirmation/tracking. All books come with free bookmarks. Ships from Southampton, New York. We Buy Books! Individual titles, libraries, collections. Message us if you have books to sell!

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Bibliografische Details

Titel

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

Verlag

Springer

Ver�ffentlichungsdatum

2006

Sprache

Englisch

ISBN-10

1852339551

ISBN-13

9781852339555

Bindung

Hardcover

Ausgabe

First Edition.

Zustand

Like New

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Reference

�ber diesen Titel

Inhaltsangabe

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.

�ber die Autorin bzw. den Autor

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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