books:
•
Design of Experiments for Engineers and Scientists
Jiju Antony
Butterworth-Heinemann
, 2003 - 176 pages
average customer review:
based on 5 reviews
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highly recommended
Excellent books for Engineers and Managers
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
Excellent book for both industrial and academic use
"
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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Jiju Antony Design of Experiments for Engineers & Scientists
"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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Good introduction to DOE
This is a good introduction to DOE with plenty of case studies and minimal statistics. It is the first book that I've read on DOE. The second chapter was a little confusing, with concepts such as
design resolution
introduced with little explanation of their significance. These concepts became clearer as I delved into the case studies, and by the end of the book I had a good grasp of the subject. A few things still mystify me, such as where the reference line in a Pareto plot comes from. It's calculated automatically by software of course, but I wish I understood the underlying maths, which goes unexplained. Still, this book will get you off the ground fast - I read it in two days.
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A true book for Practitioners and Academicians
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.
One of the key facets of this book is enclosure of number of case studies, which exploits the capability to build knowledge base on design of experiments. This book also bridges the gap between real life problem and research work using design of experiments.
This book will be of great interest to students and researchers, who are most of the time aware of the existing theories but not conversant to select the best method or the value of process parameter which has significant effect on the performance metrics of the system. The book is well structured and contains ample case materials, reflective questions, and references to promote future research in this area. The book is easy to read, and likely to find its way on to the desk of practitioners, students and researchers.
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The tools and technique used in the
Design
of
Experiments
(DOE) have been proved successful in meeting the challenge of continuous improvement over the last 15 years. However, research has shown that applications of these techniques in small and medium-sized manufacturing companies are limited due to a lack of statistical knowledge required for their effective implementation. Although many books have been written in this subject, they are mainly by statisticians, for statisticians and not appropriate for
engineers
.
Design of Experiments for Engineers and
Scientists overcomes
the problem of statistics by taking a unique approach using graphical tools. The same outcomes and conclusions are reached as by those using statistical methods and readers will find the concepts in this book both familiar and easy to understand. The book treats Planning, Communication, Engineering, Teamwork and Statistical Skills in separate chapters and then combines these skills through the use of many industrial case studies. Design of Experiments forms part of the suite of tools used in Six Sigma.
Key features:
* Provides essential DOE techniques for process improvement initiatives
* Introduces simple graphical techniques as an alternative to advanced statistical methods reducing time taken to design and develop prototypes, reducing time to reach the market
* Case studies place DOE techniques in the context of different industry sectors
* An excellent resource for the Six Sigma training program
This book will be useful to engineers and scientists from all disciplines tackling all kinds of manufacturing, product and process quality problems and will be an ideal resource for students of this topic.
Dr Jiju Anthony is Senior Teaching Fellow at the International Manufacturing Unit at Warwick University. He is also a trainer and consultant in DOE and has worked as such for a number of companies including Motorola, Vickers, Procter and Gamble, Nokia, Bosch and a large number of SMEs.
* Provides essential DOE techniques for process improvement initiatives
* Introduces simple graphical techniques as an alternative to advanced statistical methods - reducing time taken to design and conduct tests
* Case studies place DOE techniques in the context of different industry sectors
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