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Design of Experiments for Engineers and Scientists Paperback – November 7, 2003

ISBN-13: 978-0750647090 ISBN-10: 0750647094 Edition: 1st
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Design of Experiments for Engineers and Scientists + DOE Simplified: Practical Tools for Effective Experimentation, Second Edition + An Introduction to Design of Experiments: A Simplified Approach
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Editorial Reviews

Review

"This is a book outlining a method of designing experiments highly suitable for those in the Manufacturing field for whom it is written...Jiju puts forward an excellent method, Design of Experiments (DOE), to show how improvements can be brought about. While the subject matter is not new...the exclusive focus he gives to manufacturing problems and the wider insights into human considerations if the theory is to be brought to successful practice are admirable. The book is well structured to prepare the reader, to explain to the reader and then confirm the reader with sets of exercises.

- Tribology International, Volume 37, Issue 9

Book Description

The Design of Experiments (DOE) guide for quality engineering - essential reading for Six Sigma professionals
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Product Details

  • Paperback: 152 pages
  • Publisher: Butterworth Heinemann; 1 edition (November 7, 2003)
  • Language: English
  • ISBN-10: 0750647094
  • ISBN-13: 978-0750647090
  • Product Dimensions: 6.5 x 0.4 x 9.2 inches
  • Shipping Weight: 10.6 ounces (View shipping rates and policies)
  • Average Customer Review: 3.7 out of 5 stars  See all reviews (11 customer reviews)
  • Amazon Best Sellers Rank: #564,907 in Books (See Top 100 in Books)

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Customer Reviews

3.7 out of 5 stars

Most Helpful Customer Reviews

20 of 20 people found the following review helpful By Prof. M. K. Tiwari on September 27, 2005
Format: Paperback
This book provides insight into various aspects of design of experiments. Design of experiment is a powerful tool, which is used for process planning, designing and analyzing the experiment, and to obtain effective and efficient conclusion. Author has exploited his industrial and academic experience to provide detailed analysis of design of experiment with examples and hence this book is at centre stage for Decision Makers (DM). On studying this book, DM (engineers and managers) can easily apply design of experiment to real world problems and explore the influence of each and every parameter on the process performance.

This book is comprised of 9 sections, each presenting various aspects of design of experiments. First section addresses the introduction to DOE, which stresses on importance on experimentation in an organization. Second section discusses fundamentals of DOE with a framework to develop a measurement system and quality characteristics for industrial experiments. Section 3 illustrates the significance of interaction of process parameters, and provides graphical tools to handle them. Fourth section illustrates the concrete steps to plan, design, conduct and analyze the industrially designed experiments. Section 5 presents screening design, used for exploring, and discovers their influence on the process performance. Section 6 discusses the use of full factorial designs at 2 levels in industrial experiments and how to analyze and interpret the results of experiments using graphical tools generated by Mini tab software. Section 7 points out the importance to construct fractional factorial experiments. In section eight key points are depicted for making successful experiments. Last section provides eight real life industrial problems to illustrate the power of DOE.
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14 of 14 people found the following review helpful By Gary Pickrell on May 12, 2005
Format: Paperback
"Design of Experiments for Engineers and Scientists" is a well written and easily understandable text on the subject of practical experimental design considerations. Whether you are a practicing engineer in business or an instructor at an academic institution, I think that you will find this to be an excellent introductory textbook. It is simple enough for an engineer that does not have an extensive statistical or mathematical background to read through once, grasp the concepts and be able to apply experimental design techniques to improve his company's performance. The graphical presentations are very helpful in this regard. It is also detailed enough to use in a graduate course to introduce engineers to the subject of practical experimental design techniques. Having held a variety of industrial engineering positions from process engineer to member of the Board of Directors before returning to academia, I feel that I am well qualified to judge the value of this book. I have taught a graduate class in experimental design techniques for several years at a major university and will include this as a text for my future classes. Being a consultant in the areas of Six Sigma, and Lean Six Sigma, I feel this text will also be very useful for my industrial clients as well!
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12 of 14 people found the following review helpful By Maneesh on January 20, 2005
Format: Paperback
This book will prove an asset for Engineers, Managers and Research students. Statistics was never so simple and easy to learn as described in the book. The more you read, the more you will want to know about DoE. Its a good way of explaining DoE through 8 practical examples and case studies. The book helps in developing a good understanding of the theory of DOE and pratical way of using and analysing the same. I feel that this book is must for Managers and Students
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6 of 7 people found the following review helpful By Abayomi Ajayi Majebi on February 5, 2005
Format: Paperback
"This is a Must-Have Concise Textbook for individuals wishing to understand the essence and essentials of the Design of Experiments (DOE) subject matter in a minimum of time. For its relatively smaller size and greater depth of coverage, the textbook is excellent, providing a clear, concise and very effective treatment of the useful and revealing body of knowledge composing DOE. For emphasis, the text explains fundamental DOE concepts effectively, while the breadth of topics coverage is very rich. High school and college students, scientists and engineers, professionals and researchers all alike, can deploy the techniques presented in this DOE text to deepen their understanding of processes with particular respect to experimental process variables effects, their magnitudes and interactions; furthermore the textbook provides direction for the optimization of the processes being studied."

Abayomi Ajayi-Majebi, PhD, PE, CMfgE

Professor of Manufacturing Engineering

Central State University, Wilberforce, OH 45384

(1st Edition Textbook Reviewed Feb 2005)

(Request Review Expire in 5 years, calling for a new edition re-review)
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3 of 3 people found the following review helpful By Amazon Customer on June 27, 2013
Format: Paperback Verified Purchase
Don't get me wrong, I'm no genius by any stretch of the imagination but I'm no dummy either. I managed to get my BS in Mechanical Engineering so I should be able to grasp this stuff when I put in the effort. ... and I put in the effort, that's for sure. But some of this stuff just wasn't making sense. Overall, I think the material could have been made A LOT clearer. Especially since it is geared towards people that may be reading about design of experiments for the first time.

It seems that many of the other reviewers felt that this book was an "easy read". I'm not sure what background the other reviewers have in design of experiments, but I personally found it very difficult to read. It's relatively short for text book type material, so maybe that's what the other reviewers meant, but the material itself is certainly not organized in a way that makes it easy to understand. The author uses terms without first defining them for the reader. Sometimes, the terms are defined later down the road which makes no sense what-so-ever. Sometimes, terms are just not defined ... ever! This wouldn't be so terrible if there were a glossary included at the end of the book, but there isn't. A good example is what the author called an "Identity Element". Being new to DOE, I don't know what an Identity Element is. The author NEVER gives an actual definition of this term. He simply states that an Identity Element is denoted by variable "I" and then proceeds to use it in subsequent equations. I had to try and wrap my head around the concept of this "Identity Element" by trial and error and by making my own assumptions about how it is derived, used, and what it means. I don't know that I ever really quite grasped the concept.
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