Quality Engineering Using Robust Design

Quality Engineering Using Robust Design
Author: Madhav Shridhar Phadke
Publisher:
Total Pages: 420
Release: 1989
Genre: Business & Economics
ISBN:

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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.

Robust Design for Quality Engineering and Six Sigma

Robust Design for Quality Engineering and Six Sigma
Author: Sung H. Park
Publisher: World Scientific
Total Pages: 558
Release: 2008
Genre: Technology & Engineering
ISBN: 9812778675

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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.

Robust Design For Quality Engineering And Six Sigma

Robust Design For Quality Engineering And Six Sigma
Author: Sung Hyun Park
Publisher: World Scientific Publishing Company
Total Pages: 558
Release: 2008-09-26
Genre: Technology & Engineering
ISBN: 9813107073

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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

Quality Engineering Using Robust Design
Author: Madhav Phadke
Publisher:
Total Pages:
Release: 2021-07-04
Genre:
ISBN: 9780578940892

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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.

Robust Design and Analysis for Quality Engineering

Robust Design and Analysis for Quality Engineering
Author: Sung Park
Publisher: Boom Koninklijke Uitgevers
Total Pages: 356
Release: 1996-09-30
Genre: Business & Economics
ISBN: 9780412556203

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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.

Engineering Methods for Robust Product Design

Engineering Methods for Robust Product Design
Author: William Y. Fowlkes
Publisher: Prentice Hall
Total Pages: 403
Release: 1995
Genre: Technology & Engineering
ISBN: 9780201633672

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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.

Taguchi's Quality Engineering Handbook

Taguchi's Quality Engineering Handbook
Author: Genʼichi Taguchi
Publisher: Wiley-Interscience
Total Pages: 1708
Release: 2005
Genre: Business & Economics
ISBN:

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In the last fifty years, one man stands out as the driving force behind the quality revolution--Genichi Taguchi. Now, for the first time in one volume, Taguchi's Quality Engineering Handbook presents all the methods and beliefs that have made Taguchi one of the most respected authorities on quality engineering and management in the world. No other single volume presents the full breadth of founding beliefs behind the successful engineering practices used by today's leading companies. (Midwest).

Robust Design Methodology for Reliability

Robust Design Methodology for Reliability
Author: Bo Bergman
Publisher: John Wiley & Sons
Total Pages: 214
Release: 2009-08-18
Genre: Technology & Engineering
ISBN: 047074880X

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Based on deep theoretical as well as practical experience in Reliability and Quality Sciences, Robust Design Methodology for Reliability constructively addresses practical reliability problems. It offers a comprehensive design theory for reliability, utilizing robust design methodology and six sigma frameworks. In particular, the relation between un-reliability and variation and uncertainty is explored and reliability improvement measures in early product development stages are suggested. Many companies today utilise design for Six Sigma (DfSS) for strategic improvement of the design process, but often without explicitly describing the reliability perspective; this book explains how reliability design can relate to and work with DfSS and illustrates this with real–world problems. The contributors advocate designing for robustness, i.e. insensitivity to variation in the early stages of product design development. Methods for rational treatment of uncertainties in model assumptions are also presented. This book promotes a new approach to reliability thinking that addresses the design process and proneness to failure in the design phase via sensitivity to variation and uncertainty; includes contributions from both academics and industry practitioners with a broad scope of expertise, including quality science, mathematical statistics and reliability engineering; takes the innovative approach of promoting the study of variation and uncertainty as a basis for reliability work; includes case studies and illustrative examples that translate the theory into practice. Robust Design Methodology for Reliability provides a starting point for new thinking in practical reliability improvement work that will appeal to advanced designers and reliability specialists in academia and industry including fatigue engineers, product development and process/ quality professionals, especially those interested in and/ or using the DfSS framework.

Taguchi Methods for Robust Design

Taguchi Methods for Robust Design
Author: Yuin Wu
Publisher: American Society of Mechanical Engineers
Total Pages: 368
Release: 2000
Genre: Business & Economics
ISBN:

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Explains how to prevent quality problems in the early stages of product development and design, how to use the dynamic signal-to- noise ratio as the performance index for robustness of product functions, and how to evaluate methods of data collection. The book focuses on dynamic characteristics, foll.