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Most Helpful Customer Reviews
8 of 8 people found the following review helpful:
4.0 out of 5 stars
DOE step by step with examples,
By
This review is from: An Introduction to Design of Experiments: A Simplified Approach (Paperback)
DOE is the set of process improvement tools for studying more than one factor in a single experiment. The 92 page book is straight forward with many examples to show the methodology for setting up 2, 3 and up to 31 factor experiments which according to the author will cover >90% of the DOE requirements.The workbook is filled with case studies and examples from manufacturing problems which guide you through the process and help evaluate your understanding before moving to the next section. The mathematical/statistical equations are a bit intimidating but these can be set-up in a spreadsheet. The author says that these DOE tools can be used on office or sales processes but never gives an example of one. The value in this book is if you are doing a quality or six sigma project. Also, it will be of value if you are working in industries like chemical or mining, where yields are the key to success. The book shows the equations to use, the eight steps for analysis and the logical steps to creating an experiment. Additionally, it includes an appendix with T (95% confidence level) and F (degree of freedom) values which are necessary references if you attempt to do this without a statistical software package.
4 of 4 people found the following review helpful:
5.0 out of 5 stars
Excellent Book,
By Paul Rawson "paul" (California) - See all my reviews
This review is from: An Introduction to Design of Experiments: A Simplified Approach (Paperback)
I knew nothing about DOE until reading this book. As an operations manager struggling to discover the cause for various yield problems this book was instrumental in my success in solving numerous problems through experimentation.
23 of 35 people found the following review helpful:
3.0 out of 5 stars
This book is headed in the right direction...,
By A Customer
This review is from: An Introduction to Design of Experiments: A Simplified Approach (Paperback)
This is the second least complicated book I have ever read on DOE. Thanks Larry for writing the book! I wish that it had MANY more examples showing each DOE type he covers...Also, there is a need to FURTHER elaborate in simpler terms all of the concepts. I am still not understanding why a DOE book can't come out that isn't easy to read!
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Inside This Book
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First Sentence:
The purpose of this introduction to the Design of Experiments (DOE) is to showcase the power and utility of this statistical tool while teaching the audience how to plan and analyze an experiment. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
press roll pressure, nongeometric design, screening designs, confounding pattern, alpha risk, ink transfer, paste type, inherent variation, variation analysis, ramp time, decision limits, reagent concentration, fractional factorial New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
The purpose of this introduction to the Design of Experiments (DOE) is to showcase the power and utility of this statistical tool while teaching the audience how to plan and analyze an experiment. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
press roll pressure, nongeometric design, screening designs, confounding pattern, alpha risk, ink transfer, paste type, inherent variation, variation analysis, ramp time, decision limits, reagent concentration, fractional factorial New!
Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
4
books
cite this book:
- Measurement and Data Analysis for Engineering and Science (Engineering Series) by Patrick Dunn on page 254
- Machine Learning and Data Mining in Pattern Recognition: Third International Conference, MLDM 2003, Leipzig, Germany, July 5-7, 2003, proceedings ... / Lecture Notes in Artificial Intelligence) by Petra Perner on page 315
- The Problem Solving Memory Jogger: Seven Steps to Improved Processes by Goal/QPC in Back Matter
- Lean Six Sigma Logistics: Strategic Development to Operational Success by Thomas J. Goldsby on page 222
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