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

Editore: Springer, 2006

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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!

Codice articolo 142230

Dati bibliografici

• Titolo: Introduction to Engineering Statistics and Six Sigma: Statistical Quality Control and Design of Experiments and Systems
• Editore: Springer
• Data di pubblicazione: 2006
• Lingua: Inglese
• ISBN 10: 1852339551
• ISBN 13: 9781852339555
• Rilegatura: Hardcover
• Edizione: First Edition.
• Condizione: Like New
• Cataloghi dei venditori:
  • Reference

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

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).