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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.
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.
Book Synopsis Engineering Methods for Robust Product Design by : William Fowlkes
Download or read book Engineering Methods for Robust Product Design written by William Fowlkes and published by Prentice Hall. This book was released on 1995-01-01 with total page 403 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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.
Book Synopsis Taguchi Methods for Robust Design by : Yuin Wu
Download or read book Taguchi Methods for Robust Design written by Yuin Wu and published by American Society of Mechanical Engineers. This book was released on 2000 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Powerful and elegantly simple. Achieve higher quality...lower costs...faster time to market Companies worldwide have used the methods of quality expert Genichi Taguchi for the past 30 years with phenomenal product development cost savings and quality improvements. Robust Engineering, by this three-time Deming Prize winner, along with Subir Chowdhury and Shin Taguchi, is the first book to explain and illustrate his newest, most revolutionary methodology, Technology Development. It joins Design of Experiments and Robust Design as the framework on which your company can build a competitive edge. Case studies of real-world organizations Ford, ITT, 3M, Minolta, NASA, Nissan, Xerox and 9 others show you how the techniques of all three methodologies can be successfully applied. You'll hammer flexibility into your manufacturing organization to minimize product development costs, reduce product time-to-market, and fully satisfy customers needs. Project Management is going to be huge in the next decade...--Fortune Busy managers single-source guide to planning, organizing and controlling projects At last there's a concise, compact (5Ó x 8Ó) hands-on guide that puts state-of-the-art management concepts and processes at your fingertips. Project Manager's Portable Handbook, by David I. Cleland and Lewis R. Ireland, is your step-by-step guide to the nuts-and-bolts details that spell project management success. YouÕre shown how to organize and manage everything from small to multiple projects...lead and coach project team members...and manage within a strategic context from project partnering to dealing with the board of directors and other stakeholders. You'll find out how to: Select and use PM software; Develop winning proposals; Handle legal considerations; Come out on top in contract
Book Synopsis Robust Engineering: Learn How to Boost Quality While Reducing Costs & Time to Market by : Genichi Taguchi
Download or read book Robust Engineering: Learn How to Boost Quality While Reducing Costs & Time to Market written by Genichi Taguchi and published by McGraw Hill Professional. This book was released on 1999-11-08 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Powerful and elegantly simple. Achieve higher quality...lower costs...faster time to market Companies worldwide have used the methods of quality expert Genichi Taguchi for the past 30 years with phenomenal product development cost savings and quality improvements. Robust Engineering, by this three-time Deming Prize winner, along with Subir Chowdhury and Shin Taguchi, is the first book to explain and illustrate his newest, most revolutionary methodology, Technology Development. It joins Design of Experiments and Robust Design as the framework on which your company can build a competitive edge. Case studies of real-world organizations Ford, ITT, 3M, Minolta, NASA, Nissan, Xerox and 9 others show you how the techniques of all three methodologies can be successfully applied. You'll hammer flexibility into your manufacturing organization to minimize product development costs, reduce product time-to-market, and fully satisfy customers needs. Project Management is going to be huge in the next decade...--Fortune Busy managers single-source guide to planning, organizing and controlling projects At last there's a concise, compact (5Ó x 8Ó) hands-on guide that puts state-of-the-art management concepts and processes at your fingertips. Project Manager's Portable Handbook, by David I. Cleland and Lewis R. Ireland, is your step-by-step guide to the nuts-and-bolts details that spell project management success. YouÕre shown how to organize and manage everything from small to multiple projects...lead and coach project team members...and manage within a strategic context from project partnering to dealing with the board of directors and other stakeholders. You'll find out how to: Select and use PM software; Develop winning proposals; Handle legal considerations; Come out on top in contract
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.
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.
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.
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. This book was released on 2008 with total page 558 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.
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.
Book Synopsis Robust Design Methodology for Reliability by : Bo Bergman
Download or read book Robust Design Methodology for Reliability written by Bo Bergman and published by John Wiley & Sons. This book was released on 2009-08-18 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Product Design written by Kevin N. Otto and published by 清华大学出版社有限公司. This book was released on 2003 with total page 1100 pages. Available in PDF, EPUB and Kindle. Book excerpt: 责任者译名:奥托。
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.
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.
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.
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.
