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Quality By Experimental Design, 3rd Edition (Quality and Reliability) [Hardcover]

Thomas B. Barker (Author)
5.0 out of 5 stars  See all reviews (2 customer reviews)

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Book Description

June 23, 2005 0824723090 978-0824723095 3
Continuing a best-selling tradition, the third edition of Quality by Experimental Design uses the same easy-to-read and understand format that made the previous two editions so popular with newcomers and experienced readers alike. Completely revised and revamped, the third edition has lost none of the features that made each of the previous editions bestsellers in their own right.

Written in Thomas Barker's trademark, conversational style, the third edition includes new topics on inference, more realistic practice problems, examples using Minitab®, and a large dose of Robust Design philosophy and methods. Barker integrates the Robust Design, sometimes known as the Taguchi approach, as a natural part of the design effort and establishes a criterion for measurement variables. He provides step-by-step guides to the Minitab software that give you the ability to apply the concepts in practical applications and includes easy to use experimental design templates. The author presents the mathematical aspects of statistical experimental design in an intuitive rather than a theoretical manner.

Emphasizing both the philosophy and the techniques for setting up experiments, the book shows you how to achieve increased efficiency, timely accomplishment of goals, visualization through graphical and numerical representation, and control of the experiment through careful planning. Those new to QED will find some of the most powerful ideas in scientific investigation and engineering understanding in this book. Seasoned QED'ers will appreciate the new insight it offers and timely reviews of subjects in which they may have become a bit rusty.

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Quality By Experimental Design, 3rd Edition (Quality and Reliability) + Thermodynamics and Heat Power (6th Edition) + Pro/ENGINEER Tutorial Wildfire 4.0 and MultiMedia CD
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Product Details

  • Hardcover: 712 pages
  • Publisher: Chapman and Hall/CRC; 3 edition (June 23, 2005)
  • Language: English
  • ISBN-10: 0824723090
  • ISBN-13: 978-0824723095
  • Product Dimensions: 10.1 x 7.1 x 1.7 inches
  • Shipping Weight: 3.2 pounds (View shipping rates and policies)
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Best Sellers Rank: #1,385,557 in Books (See Top 100 in Books)

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2 of 3 people found the following review helpful:
5.0 out of 5 stars Clear up the confusion in DOE, February 3, 2007
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This review is from: Quality By Experimental Design, 3rd Edition (Quality and Reliability) (Hardcover)
Confused by ponderous text books?

Befuddled by incomprehensible equations?

Stymied by what to do next?

Miffed by academic professors who never designed an experiment in real life?

Put off by tricky SAS code?

Unable to do the job for your employer?

Shortchanged by the simplicity of a Six Sigma training class?

Ready to go back to the "old trial and error" methods?

Then you need Tom Barker's easy to read, right on the mark, student oriented guide to understanding and applying Design of Experiments - Quality by Experimental Design - 3rd Edition.

This book has been written for students who need to apply DOE, not the stuffy academic community that only thinks of the mathematical rigor. The equations in Tom's book are the same rigorous mathematical foundations as in any other book on DOE, but are set in a context of application. They are explained in simple language, not derived from axioms or lemmas. Equations in Tom's book come to life and do something for the reader. That something is the systematic and efficient uncovering of the complex reasons for product or process success and failure.

Barker's book is written for the current practitioner and the future practitioners of Statistical Experimental Design. Tom shows how to plan, how to build, and how to interpret and then how to use the results of powerful experimental design configurations. His insights are based on his experience at Xerox Corporation where he personally used DOE on thousands of investigations that were fruitful in the commercial development of the fledgling science of xerography that has become the successful product we all take for granted today.

As a student, you need this book now to help you understand the confusion in class.

As a product or process design engineer, you need this book now to make your efforts to get results fast and with excellent confidence.

As a manager of product or process development, you need this book now to enable you to lead your teams to success in the short development times allocated by the mandate of the ever decreasing product development cycle.
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1 of 5 people found the following review helpful:
5.0 out of 5 stars Outstanding Quality Text Book!, July 25, 2002
By A Customer
This is the best quality text book I have ever read! I learned so much and was able to apply it to my job and my boss has really noticed my increased contribution! Thanks Thomas B. Barker!
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Inside This Book (learn more)
Browse and search another edition of this book.
First Sentence:
In today's industrialized society, almost every product that eventually reaches the market has a long lineage of testing and modification to its design before it ever sees the light of day. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
factorial design templates, premultiplier matrix, solid prior knowledge, modulus algebra, centering factor, grand total squared, factorial portion, defining contrast, composite portion, random normal numbers, confounding pattern, alpha risk, inference space, combination identifiers, primary blocks, confounded interactions, blocked experiments, apple types, half effect, orthogonal polynomial coefficients, single effects, secondary block, efficient experiment, central composite design, slot length
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Latin Square, Ida Red, New York, Average Ratio, High Jolly, High Orville, Left Right, Medium Jolly, Left Score, Calculation of Averages Calculation of Std, Medium Orville, Effect Contrbtn, Std Dev, Sum of Mean Source Squares, Previous Sum Previous, Rochester Institute of Technology, Segment Difference, Segment Sum, Type of Oil
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