Design of Experiments for Engineers and Scientists
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The tools and technique used in the produce of Experiments (Doe) have been proved prosperous in meeting the challenge of continuous correction over the last 15 years. However, study has shown that applications of these techniques in small and medium-sized manufacturing fellowships are tiny due to a lack of statistical knowledge required for their sufficient implementation. Although many books have been written in this subject, they are in general by statisticians, for statisticians and not standard for engineers.
Design of Experiments for Engineers and Scientists overcomes the problem of statistics by taking a unique advent 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 detach chapters and then combines these skills straight through the use of many market case studies. produce of Experiments forms part of the suite of tools used in Six Sigma.
Key features:
* Provides significant Doe techniques for process correction initiatives
* Introduces straightforward graphical techniques as an alternative to advanced statistical methods - reducing time taken to produce and produce prototypes, reducing time to reach the market
* Case studies place Doe techniques in the context of distinct 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, stock 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 instructor and consultant in Doe and has worked as such for a amount of fellowships including Motorola, Vickers, Procter and Gamble, Nokia, Bosch and a large amount of Smes.
* Provides significant Doe techniques for process correction initiatives
* Introduces straightforward graphical techniques as an alternative to advanced statistical methods - reducing time taken to produce and show the way tests
* Case studies place Doe techniques in the context of distinct industry sectors
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- DOE Simplified: Practical Tools for Effective Experimentation, Second Edition
- An Introduction to Design of Experiments: A Simplified Approach
- Statistics for Experimenters: Design, Innovation, and Discovery , 2nd Edition
- Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building (Wiley Series in Probability and Statistics)
- Design and Analysis of Experiments
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