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Implementing Six Sigma: Smarter Solutions Using Statistical Methods [Hardcover]

Forrest W. Breyfogle (Author)
4.4 out of 5 stars  See all reviews (68 customer reviews)

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Book Description

April 7, 2003 0471265721 978-0471265726 2
  • Includes new and expanded coverage of Six Sigma infrastructure building and benchmarking.
  • Provides plans, checklists, metrics, and pitfalls.

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Implementing Six Sigma: Smarter Solutions Using Statistical Methods + The Lean Six Sigma Pocket Toolbook: A Quick Reference Guide to 100 Tools for Improving Quality and Speed + Statistics for Six Sigma Made Easy
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Editorial Reviews

Review

"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)

Review

2004 Crosby Medal Winner

Product Details

  • Hardcover: 1229 pages
  • Publisher: John Wiley & Sons; 2 edition (April 7, 2003)
  • Language: English
  • ISBN-10: 0471265721
  • ISBN-13: 978-0471265726
  • Product Dimensions: 9.4 x 6.4 x 2.6 inches
  • Shipping Weight: 4 pounds (View shipping rates and policies)
  • Average Customer Review: 4.4 out of 5 stars  See all reviews (68 customer reviews)
  • Amazon Best Sellers Rank: #268,885 in Books (See Top 100 in Books)

More About the Author

The financial crisis of the day highlights the need for a 21st century management governance system that cannot be "gamed." The Integrated Enterprise Excellence (IEE) business system provides such a system, where scorecards, strategic planning, and process improvement are integrated so that organizations move toward achieving the 3 Rs of business; i.e., everyone doing the Right things, and doing them Right, at the Right time.

 

Customer Reviews

68 Reviews
5 star:
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4 star:
 (13)
3 star:
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2 star:
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Average Customer Review
4.4 out of 5 stars (68 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

52 of 54 people found the following review helpful:
5.0 out of 5 stars Highly recommended Six Sigma resource, June 16, 2000
By 
Susan May (North Little Rock, Arkansas) - See all my reviews
Statistical tools and methodologies used by Six Sigma are not new but generally have been reserved for Quality and Engineering functions. My training and experience with Six Sigma crossed paths with employees across all departments - Buyers, Supervisors, floor employees, Human Resources, Finance, as well as Quality and Engineering personnel.

What makes "Implementing Six Sigma" significant is you do not have to be an expert in statistics or even in the Quality field to understand and implement the tools of Six Sigma. Forrest details and further defines the tools in an easy to read format, plenty of exercises and examples, and a thorough appendix. I didn't discover this book until recently and have since replaced over a dozen reference books.

Depending on the problem at hand, tool usage varies and not all are applicable (to one's project) or taught in training. I had excellent Black Belt instructors but Forrest's book would have come in handy during my training and would have been an invaluable resource when facilitating Green Belt training. Recommended for those new, and not so new, to Six Sigma.

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41 of 42 people found the following review helpful:
5.0 out of 5 stars 6 sigma explained, April 20, 2008
This review is from: Implementing Six Sigma: Smarter Solutions Using Statistical Methods (Hardcover)
Six sigma is faddish and overhyped. However the use of six sigma ideas along with many other useful statistical methods for development of high quality products has had a positive influence on many manufacturing systems in the US and elsewhere. This falls under the umbrella of Total Quality Management which is a system that encourage engineers to learn and impliment statistical quality control techniques, design of experiments, statistical process control and other things in the black belt training program. Six sigma is an important part of that. This book is a very thick and detailed text on the use of six sigma methods to produce very high quality systems. Although it is a long text, it cuts through the smokescreens and hype to get to heart of the matter. I recommend either edition as a great reference text and learning tool.
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36 of 37 people found the following review helpful:
4.0 out of 5 stars Good reference source for Six Sigma, October 18, 1999
By 
Keith Watt (Phoenix, AZ USA) - See all my reviews
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At 700+ pages, this is the equivalant of a college level text book on applying Six Sigma methods. I suggest it be used as a reference guide in conjunction with a formal six sigma training program, (The author includes this book in his Six Sigma training seminars) as it is an excellent tools and reference book. The book also gives a good introduction and walk through on how a six sigma program is typically implemented. The appendix contains an excellent glossary of six sigma terms and symbols.

The only criticism I have is that some of the explanations on relatively simple concepts (Cause & Effect diagrams, FMEA, etc.) are a little more verbose than they need to be.

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Inside This Book (learn more)
First Sentence:
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
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Appendix Section, Project Execution Roadmap Step, Source of Information, Trial Number, Catapult Exercise Data Analysis, John Wiley, Ford Motor Company, Malcolm Baldrige, Next Phase Approval, Header Information, Assessment Were, Predictor Coef, Process Number Description, Product Process Char, Team Resources Are, Tolerance Technique Size Freq, Department of Defense, General Electric, Genichi Taguchi, Green Belt Black, Lockheed Martin, Lower Upper, Measurement Sam, New York, Potential Failure Potential Effect
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