Introduction to Engineering Statistics and Six Sigma (Repost)

ISBN: 1852339551

Category: Technical

Tag: Science/Engineering


Posted on 2010-11-30. By anonymous.

Description


Introduction to Engineering Statistics and Six Sigma
Springer | January 30, 2006 | ISBN-10: 1852339551 | 529 pages | PDF | 3.8 MB

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.


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