Robust Design And Analysis For Quality Engineering PDF Download
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Author | : Sung Hyun Park |
Publisher | : World Scientific Publishing Company |
Total Pages | : 558 |
Release | : 2008-09-26 |
Genre | : Technology & Engineering |
ISBN | : 9813107073 |
Download Robust Design For Quality Engineering And Six Sigma Book in PDF, ePub and Kindle
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.
Author | : Sung Park |
Publisher | : Boom Koninklijke Uitgevers |
Total Pages | : 356 |
Release | : 1996-09-30 |
Genre | : Business & Economics |
ISBN | : 9780412556203 |
Download Robust Design and Analysis for Quality Engineering Book in PDF, ePub and Kindle
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.
Author | : Madhav Phadke |
Publisher | : |
Total Pages | : |
Release | : 2021-07-04 |
Genre | : |
ISBN | : 9780578940892 |
Download Quality Engineering Using Robust Design Book in PDF, ePub and Kindle
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.
Author | : Madhav Shridhar Phadke |
Publisher | : |
Total Pages | : 420 |
Release | : 1989 |
Genre | : Business & Economics |
ISBN | : |
Download Quality Engineering Using Robust Design Book in PDF, ePub and Kindle
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.
Author | : Christos P. Kitsos |
Publisher | : Springer Science & Business Media |
Total Pages | : 298 |
Release | : 2012-12-06 |
Genre | : Mathematics |
ISBN | : 3642592686 |
Download Industrial Statistics Book in PDF, ePub and Kindle
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.
Author | : Pengzhong Li |
Publisher | : BoD – Books on Demand |
Total Pages | : 244 |
Release | : 2021-03-24 |
Genre | : Technology & Engineering |
ISBN | : 1839624973 |
Download Quality Control Book in PDF, ePub and Kindle
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.
Author | : William Y. Fowlkes |
Publisher | : Prentice Hall |
Total Pages | : 403 |
Release | : 1995 |
Genre | : Technology & Engineering |
ISBN | : 9780201633672 |
Download Engineering Methods for Robust Product Design Book in PDF, ePub and Kindle
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.
Author | : Theodore T. Allen |
Publisher | : Springer Science & Business Media |
Total Pages | : 573 |
Release | : 2010-04-23 |
Genre | : Technology & Engineering |
ISBN | : 1849960003 |
Download Introduction to Engineering Statistics and Lean Sigma Book in PDF, ePub and Kindle
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.
Author | : Bo Bergman |
Publisher | : John Wiley & Sons |
Total Pages | : 214 |
Release | : 2009-08-18 |
Genre | : Technology & Engineering |
ISBN | : 047074880X |
Download Robust Design Methodology for Reliability Book in PDF, ePub and Kindle
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.
Author | : Magnus Arner |
Publisher | : John Wiley & Sons |
Total Pages | : 194 |
Release | : 2014-02-04 |
Genre | : Mathematics |
ISBN | : 1118841956 |
Download Statistical Robust Design Book in PDF, ePub and Kindle
A UNIQUELY PRACTICAL APPROACH TO ROBUST DESIGN FROM A STATISTICAL AND ENGINEERING PERSPECTIVE Variation in environment, usage conditions, and the manufacturing process has long presented a challenge in product engineering, and reducing variation is universally recognized as a key to improving reliability and productivity. One key and cost-effective way to achieve this is by robust design – making the product as insensitive as possible to variation. With Design for Six Sigma training programs primarily in mind, the author of this book offers practical examples that will help to guide product engineers through every stage of experimental design: formulating problems, planning experiments, and analysing data. He discusses both physical and virtual techniques, and includes numerous exercises and solutions that make the book an ideal resource for teaching or self-study. • Presents a practical approach to robust design through design of experiments. • Offers a balance between statistical and industrial aspects of robust design. • Includes practical exercises, making the book useful for teaching. • Covers both physical and virtual approaches to robust design. • Supported by an accompanying website (www.wiley/com/go/robust) featuring MATLAB® scripts and solutions to exercises. • Written by an experienced industrial design practitioner. This book’s state of the art perspective will be of benefit to practitioners of robust design in industry, consultants providing training in Design for Six Sigma, and quality engineers. It will also be a valuable resource for specialized university courses in statistics or quality engineering.