Summary and Info
Many have heard that six sigma methods are necessary to survive, let alone thrive, in todayвЂ™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 beenВ 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.
More About the Author
Theodore William "Ted" Allen (August 23, 1919 – January 19, 2005) was an American intellectual, writer, and activist, best known for his pioneering writings since the 1960s on "white skin privilege" and the "invention" of the "white race," particularly his seminal Class Struggle and the Origin of Racial Slavery: The Invention of the White Race, published as a pamphlet in 1975, and published the next year in expanded form.
Review and Comments
Rate the Book
Introduction to Engineering Statistics and Six SIGMA: Statistical Quality Control and Design of Experiments and Systems 0 out of 5 stars based on 0 ratings.