This how-to guide provides you with the knowledge and tools you need to use
experimental designs, a vitally important family of statistical improvement
tools. Experimenting for Breakthrough Improvement takes the
mystery out of design of experiments in manufacturing environments.
With this book you will be able to:
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“Speak” the language of design of experiments
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Properly plan an experiment
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Conduct the most commonly used experimental designs
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Analyze experimental results to find the power factors of your process
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Use experimental design results to optimize your processes
Experimenting for Breakthrough Improvement
can be used in a classroom setting or as a self-study guide. Sixteen chapters walk you through everything you need to know
about conducting DOEs including:
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Screening Experiments including Taguchi and
Plackett-Burman Experiments
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Fractional and Full Factorial Experiments
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Response Surface Analysis
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Evolutionary Operations
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Mixture Experiments
Exercises,
Workshops, and Worksheets
Exercises
and workshops are included throughout the training to reinforce what has been
learned. Worksheets included at the
end of the workbook make it easy to set up and conduct a DOE.
Michael R. Beauregard, PE, Director of
Technology at Resource Engineering, has over 20 years of experience in
engineering and plant management. His
experience is in the development and application of innovative techniques for
improving manufacturing operations. Mike
was a member of the Board of Examiners for the Malcolm Baldrige National Quality
Award in 1995, 1996, 1997, 1999, 2000.
Raymond J. Mikulak, PE, President of
Resource Engineering, has more than 30 years of experience as a general manager.
He has led multi-million dollar manufacturing businesses that serve the
automotive and electronic industries. He
specializes in developing and implementing innovative manufacturing strategies
to increase productivity and improve quality.
Barbara A. Olson is the Operations
Manager at the Molding Materials Division of Rogers Corporation. She has over 15 years of experience in applying DOE and other
statistical techniques to improve processes in the chemical, plastics,
electronics, and automotive industries.
All
three authors are ASQ Certified Quality Engineers.
Experimenting for Breakthrough Improvement:
The Step-by-Step Guide for Harnessing the Power of
Experimental Designs
Contents
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Chapter 1 |
Why Design of Experiments
Why
experimental designs provide more insight into processes than
traditional one-at-a-time experiments.
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Chapter 2 |
Everything Varies
Review of
tools and techniques for measuring and quantifying variation in both
process location and spread. |
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Chapter 3 |
The Language of DOE
Explanations
of important terms used in experimental designs.
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Chapter 4 |
The Measurement System
Why and how
to assess measurement error.
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Chapter 5 |
Tests of Significance
How to use
tests of significance to determine what is and what is not statistically
different.
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Chapter 6 |
The History of DOE
A brief
overview of the history of the development and use of experimental
design from the 1920s to current day.
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Chapter 7 |
The Basics of DOE
The basic
steps to use for planning and conducting any experimental design.
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Chapter 8 |
Full Factorial Experiments
A detailed
explanation of how to plan, conduct, and analyze the results of full
factorial experiments using orthogonal arrays, ANOVA, and response
graphs.
|
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Chapter 9 |
Full Factorial Workshop
A workshop
on a full factorial experiment studying three factors at two levels with
step-by-step instructions and calculations.
|
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Chapter 10 |
Fractional Factorials
Why and how
to run a partial or fractional factorial experiment.
|
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Chapter 11 |
Screening Experiments
A
comprehensive section on how to use Plackett-Burman methods and Taguchi
designs to “screen out” the power factors in the process.
|
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Chapter 12 |
Screening Experiments Workshop
A workshop
on an 8-run Plackett-Burman screening experiment with step-by-step
instructions and calculations.
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Chapter 13 |
Response Surface Analysis
How to use a
basic RSA to determine where to set the factor levels to optimize the
process output.
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Chapter 14 |
Evolutionary Operations
How to use
EVOP techniques for on-line process optimization.
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Chapter 15 |
Mixture Experiments
An
introduction to the application of designed experiments to product
formulating.
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Chapter 16 |
Handling Missing Data
Guidelines
for salvaging experiments when data are missing or unusable.
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Glossary of Terms
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Glossary of Symbols
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Reference Section, Tables and Matrices
A set of
useful statistical tables and experimental design matrices.
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Worksheets
A series of
worksheets formatted to help you keep your calculations in order as you
conduct experimental designs and analyze their results.
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Answer Guide
Answers
to the many exercises found throughout the text.
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Bibliography
A listing
of relevant reference texts by chapter of the book.
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