An Introduction to Design of Experiments: A Simplified Approach

By Larry B. Barrentine

Are you aware of how design of experiments can positively effect your work? Have you been avoiding DOE due to its mathematical structure? Now there is a tool that explains the basics of DOE with little mathematical know-how while maintaining statistical correctness. By minimizing DOE's mathematics in favor of a logical, structured approach, the author demonstrates that nearly anyone can adapt DOE to their needs. You'll find yourself working through the book in a step-by-step manner allowing you to immediately apply what you've learned to your own situation. Each procedure is illustrated by an example. Case studies and exercises guide you through the book to help you evaluate your understanding before moving ahead to another section. A glossary of common DOE terms is also included making this one of the most thorough, basic, introductions to this useful tool

• Format: Paperback
• Language: English
• ISBN: 0873894448
• ISBN13: 9780873894449
• Release Date: January 1999
• Publisher: Asq Pr
• Length: 114 Pages
• Weight: 0.88 lbs.
• Dimensions: 11.3" x 0.5" x 8.5"

Customer Reviews

Good Stuff

It is a book that explains the basics of DOE in a ver understandable way. The seller shipped the book as described and it was a very fast shipment.

Excellent Book

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.

DOE step by step with examples

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. <br />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. <br />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. <br />