Robust Design and Analysis for Quality Engineering

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Publisher : Boom Koninklijke Uitgevers
ISBN 13 : 9780412556203
Total Pages : 356 pages
Book Rating : 4.00/5 ( download)

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Book Synopsis Robust Design and Analysis for Quality Engineering by : Sung Park

Download or read book Robust Design and Analysis for Quality Engineering written by Sung Park and published by Boom Koninklijke Uitgevers. This book was released on 1996-09-30 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is written primarily for engineers who want to use statistical designs for quality engineering, and for statisticians who want to know the wide range of applications of experimental design in the manufacturing industry. Significantly, Robust Design and Analysis for Quality Engineering addresses the following techniques: Taguchi's quality engineering approaches, concepts of robustness in experimental designs, response surface design and its applications, Pareto-type ANOVA for analysis of parameter design, and strategies of quality improvement efforts through robust design and analysis. Through a series of real case studies, these important techniques are made readily accessible to all readers. This is also the key text for senior undergraduate and postgraduate students studying engineering and experimental design.

Robust Design for Quality Engineering and Six Sigma

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Publisher : World Scientific Publishing Company
ISBN 13 : 9813107073
Total Pages : 560 pages
Book Rating : 4.76/5 ( download)

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Book Synopsis Robust Design for Quality Engineering and Six Sigma by : Sung H Park

Download or read book Robust Design for Quality Engineering and Six Sigma written by Sung H Park and published by World Scientific Publishing Company. This book was released on 2008-09-26 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is written primarily for engineers and researchers who use statistical robust design for quality engineering and Six Sigma, and for statisticians who wish to know about the wide range of applications of experimental design in industry. It is a valuable guide and reference material for students, managers, quality improvement specialists and other professionals interested in Taguchi's robust design methods as well as the implementation of Six Sigma. This book can also be useful to those who would like to learn about the role of Robust Design within the Six Sigma (Improve phase) methodology and Design for Six Sigma (DFSS) (Optimize) methodology. It combines classical experimental design methods with those of Taguchi's robust designs, demonstrating their prowess in DFSS and suggesting new directions for the development of statistical design and analysis.

Quality Engineering Using Robust Design

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Publisher :
ISBN 13 : 9780578940892
Total Pages : pages
Book Rating : 4.92/5 ( download)

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Book Synopsis Quality Engineering Using Robust Design by : Madhav Phadke

Download or read book Quality Engineering Using Robust Design written by Madhav Phadke and published by . This book was released on 2021-07-04 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents a systematic and efficient method to design high quality / reliability and high performance products / processes at low cost. Contains case studies from diverse engineering fields to describe Robust Design / Taguchi method.Some topics covered are: orthogonal arrays, Signal-to-Noise ratios as design quality metric, computer-aided robust design techniques, and more.

Quality Engineering Using Robust Design

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Publisher :
ISBN 13 :
Total Pages : 420 pages
Book Rating : 4.27/5 ( download)

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Book Synopsis Quality Engineering Using Robust Design by : Madhav Shridhar Phadke

Download or read book Quality Engineering Using Robust Design written by Madhav Shridhar Phadke and published by . This book was released on 1989 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Phadke was trained in robust design techniques by Genichi Taguchi, the mastermind behind Japanese quality manufacturing technologies and the "father of Japanese quality control". Readers will gain a step-by-step example showing how to implement robust design techniques using the latest perpectives from many different industries.

Quality Control, Robust Design, and the Taguchi Method

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Publisher : Springer
ISBN 13 : 9781468414738
Total Pages : 309 pages
Book Rating : 4.39/5 ( download)

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Book Synopsis Quality Control, Robust Design, and the Taguchi Method by : Khosrow Dehnad

Download or read book Quality Control, Robust Design, and the Taguchi Method written by Khosrow Dehnad and published by Springer. This book was released on 2012-02-25 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Introduction to Engineering Statistics and Lean Sigma

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Publisher : Springer Science & Business Media
ISBN 13 : 1849960003
Total Pages : 573 pages
Book Rating : 4.07/5 ( download)

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Book Synopsis Introduction to Engineering Statistics and Lean Sigma by : Theodore T. Allen

Download or read book Introduction to Engineering Statistics and Lean Sigma written by Theodore T. Allen and published by Springer Science & Business Media. This book was released on 2010-04-23 with total page 573 pages. Available in PDF, EPUB and Kindle. Book excerpt: Lean production, has long been regarded as critical to business success in many industries. Over the last ten years, instruction in six sigma has been increasingly linked with learning about the elements of lean production. Introduction to Engineering Statistics and Lean Sigma builds on the success of its first edition (Introduction to Engineering Statistics and Six Sigma) to reflect the growing importance of the "lean sigma" hybrid. As well as providing detailed definitions and case studies of all six sigma methods, Introduction to Engineering Statistics and Lean Sigma forms one of few sources on the relationship between operations research techniques and lean sigma. Readers will be given the information necessary to determine which sigma methods to apply in which situation, and to predict why and when a particular method may not be effective. Methods covered include: • control charts and advanced control charts, • failure mode and effects analysis, • Taguchi methods, • gauge R&R, and • genetic algorithms. The second edition also greatly expands the discussion of Design For Six Sigma (DFSS), which is critical for many organizations that seek to deliver desirable products that work first time. It incorporates recently emerging formulations of DFSS from industry leaders and offers more introductory material on the design of experiments, and on two level and full factorial experiments, to help improve student intuition-building and retention. The emphasis on lean production, combined with recent methods relating to Design for Six Sigma (DFSS), makes Introduction to Engineering Statistics and Lean Sigma a practical, up-to-date resource for advanced students, educators, and practitioners.

Engineering Methods for Robust Product Design

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Publisher : Prentice Hall
ISBN 13 : 9780201633672
Total Pages : 403 pages
Book Rating : 4.71/5 ( download)

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Book Synopsis Engineering Methods for Robust Product Design by : William Y. Fowlkes

Download or read book Engineering Methods for Robust Product Design written by William Y. Fowlkes and published by Prentice Hall. This book was released on 1995 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt: Robust Design is the procedure used by design engineers to reduce the effects of order to produce the highest quality products possible. This book includes real life case studies focusing on mechanical, chemical and imaging design that illustrate potential problems and their solutions and offers WinRobust Lite software and practice problems.

Quality Control

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Publisher : BoD – Books on Demand
ISBN 13 : 1839624973
Total Pages : 244 pages
Book Rating : 4.71/5 ( download)

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Book Synopsis Quality Control by : Pengzhong Li

Download or read book Quality Control written by Pengzhong Li and published by BoD – Books on Demand. This book was released on 2021-03-24 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quality control is changing along with the manufacturing environment. A series of revolutionary changes will occur in management contents, methods, capabilities, and real-time effectiveness and efficiency of management. As an essential factor in intelligent manufacturing, quality control systems require real and comprehensive innovation. Focused on new trends and developments in quality control from a worldwide perspective, this book presents the latest information on novel approaches in quality control. Its thirteen chapters cover three topics: intelligent manufacturing, robust design, and control charts.

Industrial Statistics

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Publisher : Springer Science & Business Media
ISBN 13 : 3642592686
Total Pages : 298 pages
Book Rating : 4.83/5 ( download)

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Book Synopsis Industrial Statistics by : Christos P. Kitsos

Download or read book Industrial Statistics written by Christos P. Kitsos and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Devoted to the growing impact of statistical methodology and statistical computing in industry the aim of this book is to link the three components: Statistics - industry - computers. Different areas of industrial statistics are presented by a number of excellent contributions. The following topics are covered: Quality control, engineering and monitoring; reliability and failure time analysis, experimental design; repeated measurements - multiple inference; pharma - statistics; computing, imaging and perception. This book concentrates on the interface between statistical needs in industry and statistical methods developed by statisticians and engineers.

Quality Control, Robust Design, and the Taguchi Method

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Publisher : Springer Science & Business Media
ISBN 13 : 1468414720
Total Pages : 287 pages
Book Rating : 4.21/5 ( download)

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Book Synopsis Quality Control, Robust Design, and the Taguchi Method by : Khosrow Dehnad

Download or read book Quality Control, Robust Design, and the Taguchi Method written by Khosrow Dehnad and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.