Design of Experiments for Engineers and Scientists

Design of Experiments for Engineers and Scientists
Author: Jiju Antony
Publsiher: Elsevier
Total Pages: 220
Release: 2014-02-22
ISBN 10: 0080994199
ISBN 13: 9780080994192
Language: EN, FR, DE, ES & NL

Design of Experiments for Engineers and Scientists Book Review:

The tools and techniques used in Design of Experiments (DoE) have been proven successful in meeting the challenge of continuous improvement in many manufacturing organisations over the last two decades. However research has shown that application of this powerful technique in many companies is limited due to a lack of statistical knowledge required for its effective implementation. Although many books have been written on 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 through using statistical methods and readers will find the concepts in this book both familiar and easy to understand. This new edition includes a chapter on the role of DoE within Six Sigma methodology and also shows through the use of simple case studies its importance in the service industry. It is essential reading for 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. Written in non-statistical language, the book is an essential and accessible text for scientists and engineers who want to learn how to use DoE Explains why teaching DoE techniques in the improvement phase of Six Sigma is an important part of problem solving methodology New edition includes a full chapter on DoE for services as well as case studies illustrating its wider application in the service industry

Design of Experiments for Engineers and Scientists

Design of Experiments for Engineers and Scientists
Author: Jiju Antony
Publsiher: Elsevier
Total Pages: 190
Release: 2003-09-05
ISBN 10: 0080469957
ISBN 13: 9780080469959
Language: EN, FR, DE, ES & NL

Design of Experiments for Engineers and Scientists Book Review:

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

Design of Experiments for Engineers and Scientists

Design of Experiments for Engineers and Scientists
Author: Jiju Antony
Publsiher: Elsevier
Total Pages: 222
Release: 2017-11-13
ISBN 10: 9780081013168
ISBN 13: 0081013167
Language: EN, FR, DE, ES & NL

Design of Experiments for Engineers and Scientists Book Review:

The tools and techniques used in Design of Experiments (DoE) have been proven successful in meeting the challenge of continuous improvement in many manufacturing organisations over the lasttwo decades. However research has shown that application of this powerful technique in many companiesis limited due to a lack of statistical knowledge required for its effective implementation. Although many books have been written on 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 asthrough using statistical methods and readers will find the concepts in this book both familiar and easy to understand. This new edition includes a chapter on the role of DoE within Six Sigma methodology and also shows through the use of simple case studiesits importance in the service industry. Itis essential reading forengineers 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. Written in non-statistical language, the book is an essential and accessible text for scientists and engineers who want to learnhow to use DoEExplainswhy teaching DoE techniques in the improvement phase of Six Sigma is animportant part of problem solving methodologyNew editionincludes a full chapter on DoE for services as well as case studies illustrating its wider application in the service industry"

Practical Experiment Designs for Engineers and Scientists

Practical Experiment Designs for Engineers and Scientists
Author: William J. Diamond
Publsiher: Unknown
Total Pages: 348
Release: 1981
ISBN 10:
ISBN 13: UOM:39015000500135
Language: EN, FR, DE, ES & NL

Practical Experiment Designs for Engineers and Scientists Book Review:

Fundamentals of experiment design; Introduction to experiment design: fundamental concepts; Introduction to experiment design: elements of decision making; Introduction to experiment design: other important concepts; Simple comparative experiments: decisions about population means; Simple comparative experiments: decisions about population variances; Sequential experiments. Two-level multivariable experiments; General principles for two-level multivariable experiments; Two-level multivariable experiments: eight-trial hadamard matrix designs; Two-level multivariable experiments: hadamard matrices greater than order 8; John's three-quarter fractional factorials; Special resolution V designs; Summary of two-level matrix designs; A computer program for generating hadamard matrix designs and analyzing the data from such designs; Multilevel, multivariable experiments; Multilevel experiments with qualitative variables; Multilevel experiments with quantitative variables; Experiment designs for chemical-composition experiments; Random-strategy experiments; Related topics; Blocking an experiment; Validation of test methods; Concepts for a complete project strategy; General references, symbols, tables, and answers to exercises; Index.

Design of Experiments in Chemical Engineering

Design of Experiments in Chemical Engineering
Author: Zivorad R. Lazic
Publsiher: John Wiley & Sons
Total Pages: 620
Release: 2006-03-06
ISBN 10: 3527604596
ISBN 13: 9783527604593
Language: EN, FR, DE, ES & NL

Design of Experiments in Chemical Engineering Book Review:

While existing books related to DOE are focused either on process or mixture factors or analyze specific tools from DOE science, this text is structured both horizontally and vertically, covering the three most common objectives of any experimental research: * screening designs * mathematical modeling, and * optimization. Written in a simple and lively manner and backed by current chemical product studies from all around the world, the book elucidates basic concepts of statistical methods, experiment design and optimization techniques as applied to chemistry and chemical engineering. Throughout, the focus is on unifying the theory and methodology of optimization with well-known statistical and experimental methods. The author draws on his own experience in research and development, resulting in a work that will assist students, scientists and engineers in using the concepts covered here in seeking optimum conditions for a chemical system or process. With 441 tables, 250 diagrams, as well as 200 examples drawn from current chemical product studies, this is an invaluable and convenient source of information for all those involved in process optimization.

Design of Experiments

Design of Experiments
Author: Max Morris
Publsiher: CRC Press
Total Pages: 376
Release: 2010-07-27
ISBN 10: 1439894906
ISBN 13: 9781439894903
Language: EN, FR, DE, ES & NL

Design of Experiments Book Review:

Offering deep insight into the connections between design choice and the resulting statistical analysis, Design of Experiments: An Introduction Based on Linear Models explores how experiments are designed using the language of linear statistical models. The book presents an organized framework for understanding the statistical aspects of experimental design as a whole within the structure provided by general linear models, rather than as a collection of seemingly unrelated solutions to unique problems. The core material can be found in the first thirteen chapters. These chapters cover a review of linear statistical models, completely randomized designs, randomized complete blocks designs, Latin squares, analysis of data from orthogonally blocked designs, balanced incomplete block designs, random block effects, split-plot designs, and two-level factorial experiments. The remainder of the text discusses factorial group screening experiments, regression model design, and an introduction to optimal design. To emphasize the practical value of design, most chapters contain a short example of a real-world experiment. Details of the calculations performed using R, along with an overview of the R commands, are provided in an appendix. This text enables students to fully appreciate the fundamental concepts and techniques of experimental design as well as the real-world value of design. It gives them a profound understanding of how design selection affects the information obtained in an experiment.

Optimal Design of Experiments

Optimal Design of Experiments
Author: Peter Goos,Bradley Jones
Publsiher: John Wiley & Sons
Total Pages: 304
Release: 2011-06-28
ISBN 10: 1119976162
ISBN 13: 9781119976165
Language: EN, FR, DE, ES & NL

Optimal Design of Experiments Book Review:

"This is an engaging and informative book on the modern practice of experimental design. The authors' writing style is entertaining, the consulting dialogs are extremely enjoyable, and the technical material is presented brilliantly but not overwhelmingly. The book is a joy to read. Everyone who practices or teaches DOE should read this book." - Douglas C. Montgomery, Regents Professor, Department of Industrial Engineering, Arizona State University "It's been said: 'Design for the experiment, don't experiment for the design.' This book ably demonstrates this notion by showing how tailor-made, optimal designs can be effectively employed to meet a client's actual needs. It should be required reading for anyone interested in using the design of experiments in industrial settings." —Christopher J. Nachtsheim, Frank A Donaldson Chair in Operations Management, Carlson School of Management, University of Minnesota This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples. These examples address questions such as the following: How can I do screening inexpensively if I have dozens of factors to investigate? What can I do if I have day-to-day variability and I can only perform 3 runs a day? How can I do RSM cost effectively if I have categorical factors? How can I design and analyze experiments when there is a factor that can only be changed a few times over the study? How can I include both ingredients in a mixture and processing factors in the same study? How can I design an experiment if there are many factor combinations that are impossible to run? How can I make sure that a time trend due to warming up of equipment does not affect the conclusions from a study? How can I take into account batch information in when designing experiments involving multiple batches? How can I add runs to a botched experiment to resolve ambiguities? While answering these questions the book also shows how to evaluate and compare designs. This allows researchers to make sensible trade-offs between the cost of experimentation and the amount of information they obtain.

Basic Experimental Strategies and Data Analysis for Science and Engineering

Basic Experimental Strategies and Data Analysis for Science and Engineering
Author: John Lawson,John Erjavec
Publsiher: CRC Press
Total Pages: 434
Release: 2016-11-03
ISBN 10: 1466512180
ISBN 13: 9781466512184
Language: EN, FR, DE, ES & NL

Basic Experimental Strategies and Data Analysis for Science and Engineering Book Review:

Although books covering experimental design are often written for academic courses taken by statistics majors, most experiments performed in industry and academic research are designed and analyzed by non-statisticians. Therefore, a need exists for a desk reference that will be useful to practitioners who use experimental designs in their work. This book fills that gap. It is written as a guide that can be used as a reference book or as a sole or supplemental text for a university course.

Statistical Design of Experiments with Engineering Applications

Statistical Design of Experiments with Engineering Applications
Author: Kamel Rekab,Muzaffar Shaikh
Publsiher: CRC Press
Total Pages: 272
Release: 2005-04-08
ISBN 10: 1574446258
ISBN 13: 9781574446258
Language: EN, FR, DE, ES & NL

Statistical Design of Experiments with Engineering Applications Book Review:

In today's high-technology world, with flourishing e-business and intense competition at a global level, the search for the competitive advantage has become a crucial task of corporate executives. Quality, formerly considered a secondary expense, is now universally recognized as a necessary tool. Although many statistical methods are available for determining quality, there has been no guide to easy learning and implementation until now. Filling that gap, Statistical Design of Experiments with Engineering Applications, provides a ready made, quick and easy-to-learn approach for applying design of experiments techniques to problems. The book uses quality as the main theme to explain various design of experiments concepts. The authors examine the entire product lifecycle and the tools and techniques necessary to measure quality at each stage. They explain topics such as optimization, Taguchi's method, variance reduction, and graphical applications based on statistical techniques. Wherever applicable the book supplies practical rules of thumb, step-wise procedures that allow you to grasp concepts quickly and apply them appropriately, and examples that demonstrate how to apply techniques. Emphasizing the importance of quality to products and services, the authors include concepts from the field of Quality Engineering. Written with an emphasis on application and not on bogging you down with the theoretical underpinnings, the book enables you to solve 80% of design problems without worrying about the derivation of mathematical formulas.

Design of Experiments for Chemical Pharmaceutical Food and Industrial Applications

Design of Experiments for Chemical  Pharmaceutical  Food  and Industrial Applications
Author: Carrillo-Cedillo, Eugenia Gabriela,Rodríguez-Avila, José Antonio,Arredondo-Soto, Karina Cecilia,Cornejo-Bravo, José Manuel
Publsiher: IGI Global
Total Pages: 429
Release: 2019-12-13
ISBN 10: 179981520X
ISBN 13: 9781799815204
Language: EN, FR, DE, ES & NL

Design of Experiments for Chemical Pharmaceutical Food and Industrial Applications Book Review:

Statistics is a key characteristic that assists a wide variety of professions including business, government, and factual sciences. Companies need data calculation to make informed decisions that help maintain their relevance. Design of experiments (DOE) is a set of active techniques that provides a more efficient approach for industries to test their processes and form effective conclusions. Experimental design can be implemented into multiple professions, and it is a necessity to promote applicable research on this up-and-coming method. Design of Experiments for Chemical, Pharmaceutical, Food, and Industrial Applications is a pivotal reference source that seeks to increase the use of design of experiments to optimize and improve analytical methods and productive processes in order to use less resources and time. While highlighting topics such as multivariate methods, factorial experiments, and pharmaceutical research, this publication is ideally designed for industrial designers, research scientists, chemical engineers, managers, academicians, and students seeking current research on advanced and multivariate statistics.

Design of Experiments Using The Taguchi Approach

Design of Experiments Using The Taguchi Approach
Author: Ranjit K. Roy
Publsiher: John Wiley & Sons
Total Pages: 560
Release: 2001-02-13
ISBN 10: 9780471361015
ISBN 13: 0471361011
Language: EN, FR, DE, ES & NL

Design of Experiments Using The Taguchi Approach Book Review:

Fulfill the practical potential of DOE-with a powerful, 16-step approach for applying the Taguchi method Over the past decade, Design of Experiments (DOE) has undergone great advances through the work of the Japanese management guru Genechi Taguchi. Yet, until now, books on the Taguchi method have been steeped in theory and complicated statistical analysis. Now this trailblazing work translates the Taguchi method into an easy-to-implement 16-step system. Based on Ranjit Roy's successful Taguchi training course, this extensively illustrated book/CD-ROM package gives readers the knowledge and skills necessary to understand and apply the Taguchi method to engineering projects-from theory and applications to hands-on analysis of the data. It is suitable for managers and technicians without a college-level engineering or statistical background, and its self-study pace-with exercises included in each chapter-helps readers start using Taguchi DOE tools on the job quickly. Special features include: * An accompanying CD-ROM of Qualitek-4 software, which performs calculations and features all example experiments described in the book * Problem-solving exercises relevant to actual engineering situations, with solutions included at the end of the text * Coverage of two-, three-, and four-level factors, analysis of variance, robust designs, combination designs, and more Engineers and technical personnel working in process and product design-as well as other professionals interested in the Taguchi method-will find this book/CD-ROM a tremendously important and useful asset for making the most of DOE in their work.

Statistical Analysis of Designed Experiments

Statistical Analysis of Designed Experiments
Author: Ajit C. Tamhane
Publsiher: John Wiley & Sons
Total Pages: 720
Release: 2012-09-12
ISBN 10: 1118491432
ISBN 13: 9781118491430
Language: EN, FR, DE, ES & NL

Statistical Analysis of Designed Experiments Book Review:

A indispensable guide to understanding and designing modern experiments The tools and techniques of Design of Experiments (DOE) allow researchers to successfully collect, analyze, and interpret data across a wide array of disciplines. Statistical Analysis of Designed Experiments provides a modern and balanced treatment of DOE methodology with thorough coverage of the underlying theory and standard designs of experiments, guiding the reader through applications to research in various fields such as engineering, medicine, business, and the social sciences. The book supplies a foundation for the subject, beginning with basic concepts of DOE and a review of elementary normal theory statistical methods. Subsequent chapters present a uniform, model-based approach to DOE. Each design is presented in a comprehensive format and is accompanied by a motivating example, discussion of the applicability of the design, and a model for its analysis using statistical methods such as graphical plots, analysis of variance (ANOVA), confidence intervals, and hypothesis tests. Numerous theoretical and applied exercises are provided in each chapter, and answers to selected exercises are included at the end of the book. An appendix features three case studies that illustrate the challenges often encountered in real-world experiments, such as randomization, unbalanced data, and outliers. Minitab® software is used to perform analyses throughout the book, and an accompanying FTP site houses additional exercises and data sets. With its breadth of real-world examples and accessible treatment of both theory and applications, Statistical Analysis of Designed Experiments is a valuable book for experimental design courses at the upper-undergraduate and graduate levels. It is also an indispensable reference for practicing statisticians, engineers, and scientists who would like to further their knowledge of DOE.

Pharmaceutical Experimental Design

Pharmaceutical Experimental Design
Author: Gareth A. Lewis,Didier Mathieu,Roger Phan-Tan-Luu
Publsiher: CRC Press
Total Pages: 512
Release: 1998-09-10
ISBN 10: 0824746880
ISBN 13: 9780824746889
Language: EN, FR, DE, ES & NL

Pharmaceutical Experimental Design Book Review:

This useful reference describes the statistical planning and design of pharmaceutical experiments, covering all stages in the development process-including preformulation, formulation, process study and optimization, scale-up, and robust process and formulation development.Shows how to overcome pharmaceutical, technological, and economic constraint

Handbook of Design and Analysis of Experiments

Handbook of Design and Analysis of Experiments
Author: Angela Dean,Max Morris,John Stufken,Derek Bingham
Publsiher: CRC Press
Total Pages: 960
Release: 2015-06-26
ISBN 10: 146650434X
ISBN 13: 9781466504349
Language: EN, FR, DE, ES & NL

Handbook of Design and Analysis of Experiments Book Review:

Handbook of Design and Analysis of Experiments provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook gives a unified treatment of a wide range of topics, covering the latest developments. This carefully edited collection of 25 chapters in seven sections synthesizes the state of the art in the theory and applications of designed experiments and their analyses. Written by leading researchers in the field, the chapters offer a balanced blend of methodology and applications. The first section presents a historical look at experimental design and the fundamental theory of parameter estimation in linear models. The second section deals with settings such as response surfaces and block designs in which the response is modeled by a linear model, the third section covers designs with multiple factors (both treatment and blocking factors), and the fourth section presents optimal designs for generalized linear models, other nonlinear models, and spatial models. The fifth section addresses issues involved in designing various computer experiments. The sixth section explores "cross-cutting" issues relevant to all experimental designs, including robustness and algorithms. The final section illustrates the application of experimental design in recently developed areas. This comprehensive handbook equips new researchers with a broad understanding of the field’s numerous techniques and applications. The book is also a valuable reference for more experienced research statisticians working in engineering and manufacturing, the basic sciences, and any discipline that depends on controlled experimental investigation.

Design and Modeling for Computer Experiments

Design and Modeling for Computer Experiments
Author: Kai-Tai Fang,Runze Li,Agus Sudjianto
Publsiher: CRC Press
Total Pages: 304
Release: 2005-10-14
ISBN 10: 9781420034899
ISBN 13: 1420034898
Language: EN, FR, DE, ES & NL

Design and Modeling for Computer Experiments Book Review:

Computer simulations based on mathematical models have become ubiquitous across the engineering disciplines and throughout the physical sciences. Successful use of a simulation model, however, requires careful interrogation of the model through systematic computer experiments. While specific theoretical/mathematical examinations of computer experiment design are available, those interested in applying proposed methodologies need a practical presentation and straightforward guidance on analyzing and interpreting experiment results. Written by authors with strong academic reputations and real-world practical experience, Design and Modeling for Computer Experiments is exactly the kind of treatment you need. The authors blend a sound, modern statistical approach with extensive engineering applications and clearly delineate the steps required to successfully model a problem and provide an analysis that will help find the solution. Part I introduces the design and modeling of computer experiments and the basic concepts used throughout the book. Part II focuses on the design of computer experiments. The authors present the most popular space-filling designs - like Latin hypercube sampling and its modifications and uniform design - including their definitions, properties, construction and related generating algorithms. Part III discusses the modeling of data from computer experiments. Here the authors present various modeling techniques and discuss model interpretation, including sensitivity analysis. An appendix reviews the statistics and mathematics concepts needed, and numerous examples clarify the techniques and their implementation. The complexity of real physical systems means that there is usually no simple analytic formula that sufficiently describes the phenomena. Useful both as a textbook and professional reference, this book presents the techniques you need to design and model computer experiments for practical problem solving.

Design of Experiments with MINITAB

Design of Experiments with MINITAB
Author: Paul G. Mathews
Publsiher: Asq Press
Total Pages: 499
Release: 2005-01-01
ISBN 10: 9780873896375
ISBN 13: 0873896378
Language: EN, FR, DE, ES & NL

Design of Experiments with MINITAB Book Review:

Most of the classic DOE books were written before DOE software was generally available, so the technical level that they assumed was that of the engineer or scientist who had to write his or her own analysis software. In this practical introduction to DOE, guided by the capabilities of the common software packages, Paul Mathews presents the basic types and methods of designed experiments appropriate for engineers, scientists, quality engineers, and Six Sigma Black Belts and Master Black Belts. Although instructions in the use of MINITAB are detailed enough to provide effective guidance to a new MINITAB user, the book is still general enough to be very helpful to users of other DOE software packages. Every chapter contains many examples with detailed solutions including extensive output from MINITAB. Preview a sample chapter from this book along with the full table of contents by clicking here.You will need Adobe Acrobat to view this pdf file.

Design of Experiments in Production Engineering

Design of Experiments in Production Engineering
Author: J. Paulo Davim
Publsiher: Springer
Total Pages: 196
Release: 2015-11-06
ISBN 10: 3319238388
ISBN 13: 9783319238388
Language: EN, FR, DE, ES & NL

Design of Experiments in Production Engineering Book Review:

This book covers design of experiments (DoE) applied in production engineering as a combination of manufacturing technology with applied management science. It presents recent research advances and applications of design experiments in production engineering and the chapters cover metal cutting tools, soft computing for modelling and optmization of machining, waterjet machining of high performance ceramics, among others.

Experimental Design

Experimental Design
Author: S.N. Deming,S.L. Morgan
Publsiher: Elsevier
Total Pages: 285
Release: 1987-01-01
ISBN 10: 9780080868301
ISBN 13: 0080868304
Language: EN, FR, DE, ES & NL

Experimental Design Book Review:

Now available in a paperback edition is a book which has been described as ``...an exceptionally lucid, easy-to-read presentation... would be an excellent addition to the collection of every analytical chemist. I recommend it with great enthusiasm.'' (Analytical Chemistry). Unlike most current textbooks, it approaches experimental design from the point of view of the experimenter, rather than that of the statistician. As the reviewer in `Analytical Chemistry' went on to say: ``Deming and Morgan should be given high praise for bringing the principles of experimental design to the level of the practicing analytical chemist.''. The book first introduces the reader to the fundamentals of experimental design. Systems theory, response surface concepts, and basic statistics serve as a basis for the further development of matrix least squares and hypothesis testing. The effects of different experimental designs and different models on the variance-covariance matrix and on the analysis of variance (ANOVA) are extensively discussed. Applications and advanced topics (such as confidence bands, rotatability, and confounding) complete the text. Numerous worked examples are presented. The clear and practical approach adopted by the authors makes the book applicable to a wide audience. It will appeal particularly to those with a practical need (scientists, engineers, managers, research workers) who have completed their formal education but who still need to know efficient ways of carrying out experiments. It will also be an ideal text for advanced undergraduate and graduate students following courses in chemometrics, data acquisition and treatment, and design of experiments.

Advances in Electrical Engineering and Computational Science

Advances in Electrical Engineering and Computational Science
Author: Len Gelman
Publsiher: Springer Science & Business Media
Total Pages: 726
Release: 2009-04-21
ISBN 10: 9048123119
ISBN 13: 9789048123117
Language: EN, FR, DE, ES & NL

Advances in Electrical Engineering and Computational Science Book Review:

Advances in Electrical Engineering and Computational Science contains sixty-one revised and extended research articles written by prominent researchers participating in the conference. Topics covered include Control Engineering, Network Management, Wireless Networks, Biotechnology, Signal Processing, Computational Intelligence, Computational Statistics, Internet Computing, High Performance Computing, and industrial applications. Advances in Electrical Engineering and Computational Science will offer the state of art of tremendous advances in electrical engineering and computational science and also serve as an excellent reference work for researchers and graduate students working with/on electrical engineering and computational science.

Quality Control Robust Design and the Taguchi Method

Quality Control  Robust Design  and the Taguchi Method
Author: Khosrow Dehnad
Publsiher: Springer Science & Business Media
Total Pages: 309
Release: 2012-12-06
ISBN 10: 1468414720
ISBN 13: 9781468414721
Language: EN, FR, DE, ES & NL

Quality Control Robust Design and the Taguchi Method Book Review:

In 1980, I received a grant from Aoyama-gakuin university to come to the United States to assist American Industry improve the quality of their products. In a small way this was to repay the help the US had given Japan after the war. In the summer of 1980, I visited the AT&T Bell Laboratories Quality Assurance Center, the organization that founded modern quality control. The result of my first summer at AT&T was an experiment with an orthogonal array design of size 18 (OA18) for optimization of an LSI fabrication process. As a measure of quality, the quantity "signal-ta-noise" ratio was to be optimized. Since then, this experi mental approach has been named "robust design" and has attracted the attention of both engineers and statisticians. My colleagues at Bell Laboratories have written several expository articles and a few theoretical papers on robust design from the viewpoint of statistics. Because so many people have asked for copies of these papers, it has been decided to publish them in a book form. This anthology is the result of these efforts. Despite the fact that quality engineering borrows some technical words from traditional design of experiments, the goals of quality engineering are different from those of statistics. For example, suppose there are two vendors. One vendor supplies products whose quality characteristic has a normal distribution with the mean on target (the desired value) and a certain standard deviation.