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Implementing Six Sigma: Smarter Solutions Using Statistical Methods Hardcover – Apr 7 2003
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"The book is process oriented rather than tool oriented. This makes it refreshing and useful. This is a book every reliability engineer should own." (Reliability Review; 12/08)
"An excellent reference book that should be on every individual involved in Six Sigma or even just quality assurance/quality improvement." (TQM Magazine)
"...a useful guide for both academia and organizations...useful source of reference for researchers...an excellent reference book..." (The TQM Magazine, Vol 15(6) 2003)
2004 Crosby Medal WinnerSee all Product Description
Inside This Book(Learn More)
As business competition gets tougher, there is much pressure on product development, manufacturing, and service organizations to become more productive and efficient. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Top Customer Reviews
First of all, Six Sigma is defined as a system that improves business performance through cost reduction and revenue growth by improving all business processes and increasing customer satisfaction. It is not just a quality improvement system.
Second, all of the statistical tools are described, explained and illustrated with real world examples. And in addition:
• The Seven Management Tools to analyze "idea data"
• Lean tools to reduce waste as defined by Taichi Ohno
• Theory of Constraints to identify and break bottlenecks
• Project Management and Change Management
• Team effectiveness
are all integrated into "Smarter Six Sigma Solutions" to provide a holistic approach to business improvement.
In other words, if you want to make real improvements in real life business situations, this is the book to show you how to do it. Also, if you want to pass the ASQ Six Sigma Black Belt certification exam, there is no better text.
As the author of the QI Macros SPC Software for Excel, I periodically find it useful as an SPC reference.
For up-to-date insights on how to implement Six Sigma even if you're a small business with big business headaches, consider my book The Small Business Guerrilla Guide to Six Sigma.
The author uses one-sided arguments to convince the reader to use specific quality tools that he believes in. Regrettably, the author comes across as biased and narrow minded.
I've skimmed it several times for 'tools and templates' and there is nothing I could put in front of a client, it's not a Six Sigma guide, this is a statistics text. However, I have found some of the tables useful for calculations (unfortunately for the writer you can also find a ton of those online for free)
It was written by an engineer, not a business person so it's hard to get through. If you can get past the writers ego and wade through the hundreds of pages of dry statistics material and acronyms he created you might find a few statistics and six sigma gems hidden within.
I have learned so much more from the Lean Six Sigma for Dummies and Six Sigma for Dummies books. In the For Dummies I have taken pages of notes, in this book I haven't written one thing down in the first five chapters.
If you want a statistics reference manual than this your book but if you're looking for something you can use to guide you through a Six Sigma or Lean Six Sigma project or worse... a text book for LSSC then look elsewhere.
Unfortunately, the book is marred in a few ways. Its treatment of some subjects is less than lucid. For an example, the reader should compare Breyfogel's section on 2**k factorial designs with that of Box, Hunter, and Hunter. Another annoying aspect of the book is the constant advertising that the reader must put up with. Perhaps the book's biggest flaw is that it hasn't been edited well. In fact, John Wiley and Sons has done an awful job of it. The reader will find grammatical errors on many pages.
I would recommend the work as a reference for someone who already knows the bulk of the Six Sigma material. However, the reader must be prepared to wade through the incomplete sentences, grammatical mistakes, and the occasional opaque explanation.
In the foreword, Frank Shines, Jr. suggests that Breyfogle's Smarter Six Sigma Solutions (let's call it S4) approach can effectively be applied in areas such as these: organizational strategy and vision, communications and education strategy, corporate culture and history, business economics and project prioritization, organizational and individual skills and competencies, and finally, the pace and degree at which the organization can assimilate change. Paul Tobias (in the Foreword) then suggests that "the key to business success is doing the right thing faster and better and more efficiently that your competition.Read more ›
Most recent customer reviews
Good textbook that is filled with common sense. The explanations of the different statistical methods were not good. Had to use a better textbook for those references.Published 7 months ago by Rick St Jean
This book arrived in excellent condition, like brand new.
I've been working my way through each chapter on a daily basis. Read more
I bought this book directly from the author out of the trunk of his car, so I can tell you that you definitely get a better price from amazon.com. Read morePublished on July 1 2004 by Michael Harkins
When my wife brought this home from her Six Sigma Green Belt training, I eagerly opened it and spent a couple hours reviewing it's "treasures". I was disappointed. Read morePublished on May 10 2004 by M. Hill
The second edition of Implementing Six Sigma, by Forrest Breyfogle, substantially updates and enriches the original work. Read morePublished on April 20 2004 by Fred C. Bothwell
We do highly appreciate this book and we find it a very valuable resource for Six Sigma Training
Excellent effort and keep on.
Overlooking the MANY grammatical errors, the material in this book is deep, technical, and very comprehensive. Read morePublished on April 12 2004 by Peterson S. Abilla
I am new to Six Sigma, but not new to Statistical Process Control. This is the first book I've read in this area that has a customer focus, rather than a statistical focus. Read morePublished on March 6 2004 by MikenTexas
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