Experimenting for Breakthrough Improvement



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Experimenting for Breakthrough Improvement


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Experimenting for Breakthrough Improvement explains everything you need to know about conducting DOEs, including Screening Experiments, Fractional and Full Factorial Experiments, Response Surface Analysis, Evolutionary Operations, and Mixture Experiments.

Price:     $69.95  (Normally $74.95)
Edition:     Softcover
Length:     373 pages
Availability:     In Stock - ships within 24 hours M-F
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What Will This Book Help Me Do?

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:

  • “Speak” the language of design of experiments

  • Properly plan an experiment

  • Conduct the most commonly used experimental designs

  • Analyze experimental results to find the power factors of your process

  • Use experimental design results to optimize your processes

Classroom or Self-Study

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:

  • Screening Experiments including Taguchi and Plackett-Burman Experiments

  • Fractional and Full Factorial Experiments

  • Response Surface Analysis

  • Evolutionary Operations

  • 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.

About The Authors

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


Chapter 1

Why Design of Experiments

Why experimental designs provide more insight into processes than traditional one-at-a-time experiments.

Chapter 2

Everything Varies

Review of tools and techniques for measuring and quantifying variation in both process location and spread.

Chapter 3

The Language of DOE

Explanations of important terms used in experimental designs.

Chapter 4

The Measurement System

Why and how to assess measurement error.

Chapter 5

Tests of Significance

How to use tests of significance to determine what is and what is not statistically different. 

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.

Chapter 7

The Basics of DOE

The basic steps to use for planning and conducting any experimental design. 

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.

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.

Chapter 10

Fractional Factorials

Why and how to run a partial or fractional factorial experiment.

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.

Chapter 12

Screening Experiments Workshop

A workshop on an 8-run Plackett-Burman screening experiment with step-by-step instructions and calculations.

Chapter 13

Response Surface Analysis

How to use a basic RSA to determine where to set the factor levels to optimize the process output.

Chapter 14

Evolutionary Operations

How to use EVOP techniques for online process optimization.

Chapter 15

Mixture Experiments

An introduction to the application of designed experiments to product formulating.

Chapter 16

Handling Missing Data

Guidelines for salvaging experiments when data are missing or unusable.


Glossary of Terms

Glossary of Symbols

Reference Section, Tables and Matrices
A set of useful statistical tables and experimental design matrices.

A series of worksheets formatted to help you keep your calculations in order as you conduct experimental designs and analyze their results.

Answer Guide
Answers to the many exercises found throughout the text.

A listing of relevant reference texts by chapter of the book.











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