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Product Details

Hardcover: 474 pages
Language: English
ISBN-10: 0070439524
ISBN-13: 978-0070439528
Product Dimensions: 8.7 x 6 x 1.2 inches
Shipping Weight: 1.9 pounds

Average Customer Review: 3.5 out of 5 stars See all reviews (4 customer reviews)

Amazon Best Sellers Rank: #10,855,651 in Books (See Top 100 in Books)

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Customer Reviews

4 Reviews

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3.5 out of 5 stars (4 customer reviews)

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5 of 6 people found the following review helpful:

4.0 out of 5 stars A serious book for quality practitioners, March 14, 2000

T N Goh - See all my reviews

This review is from: Quality Improvement Through Planned Experimentation (Hardcover)

This is a book about quality improvement via proven techniques of statistical experiment design. It is full of illustrative examples, with mathematical details kept to a minimum. It is an excellent source of reference for industry personnel interested in improving the performance of products and processes beyond the deployment of the usual technical (engineering) approaches.

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1 of 1 people found the following review helpful:

4.0 out of 5 stars A great book on the concept of experimental design, May 27, 2010

Avid Reader "AR" (Montana) - See all my reviews

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This review is from: Quality Improvement Through Planned Experimentation (Hardcover)

I bought this book 10 years, and find myself glued to it as I prepare a training course for my people on design of experiments in Minitab. They have really easy to understand explanation of important aspects of experiments, a nice templatee for setting up an experiment that I have used for years, and great explanations on factorial designs, the theories on reducing the size of experiments. The book also covers nested designs for isolating the cause of variation in your samples. I quote this book in so many places.

This book emphasizes a graphical analysis of data, omitting the details of the statistics. And you know, it is important to look at things graphically before running the statistics. Unfortunately, the book does not cover much on response surface designs, and very little on mixture designs. Overall, a great book that is well highlighted, still being looked at 10 years after i bought it.

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5.0 out of 5 stars Great book on experimenting to improve, October 4, 2011

John Hunter "johnhunter.com" (Arlington, VA United States) - See all my reviews
(REAL NAME)

This is a great book on using experiments to improve results. The authors do an excellent job of presenting the material in a digestible way and discussing how to get results in the real world. The authors also collaborated with others on the excellent Improvement Guide. A similar book but focused on using the PDSA cycle while this book is more focused on using design of experiments. But the mentality of the other book is visible here.

3rd edition is on its way now (but not published yet).

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Most Recent Customer Reviews

1.0 out of 5 stars Good but old fashioned
This book had done good efforts but currently Tagchi approach will better to get quick answer for decision making.

Published on February 15, 2010 by Naoyuki Kitami

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Inside This Book (learn more)
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First Sentence:
Global competitive pressures are causing organizations to find ways to better meet the needs of their customers, to reduce costs, and to increase productivity. Read the first page

Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
full factorial pattern, bobbin depth, chunk factor, fractional factorial patterns, quality characteristic diagram, wallpaper experiment, feedstock shipment, armature length, solenoid experiment, other resource considerations, mill rpm, random permutation table, bushing thickness, wallpaper product, chunk variable, sance variables, nested study, coolant concentration, planned experimentation, nested experiment, more quality characteristics, oven pressure, enumerative study, run chart, triangular graph paper

Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Test Run, Factor Test, Alternatives Any, Midlevel Midlevel, Reducing the Size of Experiments, References Box, Harvard Business Review, John Wiley, Journal of Quality Technology, Levels Figure, Mid-State Brick Company, Test Adjusted, White Plains

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Books on Related Topics | Concordance | Text Stats

Citations (learn more)

This book cites 26 books:

Statistical Method from the Viewpoint of Quality Control (Dover Books on Mathematics) by Walter A. Shewhart on page 18, Back Matter (1), and Back Matter (2)
Quality Control (Open Learning for Supervisory Management) by National Examinations Board for Supervisory Studies on page 244, and Back Matter
Some Theory of Sampling (Dover Books on Mathematics) by William Edwards Deming on page 17, and page 73
Applications of Statistics to Industrial Experimentation (Wiley Series in Probability and Statistics) by Cuthbert Daniel on page 161, and page 207
Out of the Crisis by W. Edwards Deming in Back Matter (1), and Back Matter (2)

See all 26 books this book cites

2 books cite this book:

Total Quality Essentials by Sarv Soin in Front Matter
Optical Fiber Fusion Splicing (Springer Series in Optical Sciences) by Andrew D. Yablon in Back Matter

Books on Related Topics (learn more)

The Lean Six Sigma Pocket Toolbook by Dave Rowlands

Discusses:

Implementing Six Sigma by Forrest W. Breyfogle

Discusses:

Fundamental Concepts in the Design of Experiments by Charles Robert Hicks

Discusses:

Process Quality Control by Ellis R. Ott

Discusses:

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