Robust Design Methodology For Reliability

Author: Bo Bergman
Publisher: John Wiley & Sons
ISBN: 047074880X
Size: 20.33 MB
Format: PDF, Mobi
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Robust Design Methodology For Reliability from the Author: Bo Bergman. 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.

Statistical Analysis Of Designed Experiments

Author: Ajit C. Tamhane
Publisher: John Wiley & Sons
ISBN: 1118491432
Size: 74.93 MB
Format: PDF, Kindle
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Statistical Analysis Of Designed Experiments from the Author: Ajit C. Tamhane. 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.

Modern Statistics For Engineering And Quality Improvement

Author: John Lawson
Publisher: Duxbury Press
ISBN: 9780534190507
Size: 50.40 MB
Format: PDF, ePub, Docs
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Modern Statistics For Engineering And Quality Improvement from the Author: John Lawson. Through years of teaching experience, John S. Lawson and John Erjavec have learned that it doesn't take much theoretical background before engineers can learn practical methods of data collections, analysis, and interpretation that will be useful in real life and on the job. With this premise in mind, the authors wrote ENGINEERING AND INDUSTRIAL STATISTICS, which includes the basic topics of engineering statistics but puts less emphasis on the theoretical concepts and elementary topics usually found in an introductory statistics book. Instead, the authors put more emphasis on techniques that will be useful for engineers. With fewer details of traditional probability and inference and more emphasis on the topics useful to engineers, the book is flexible for instructors and interesting for students.

Soft Computing In Engineering Design And Manufacturing

Author: Pravir K. Chawdhry
Publisher: Springer Science & Business Media
ISBN: 9783540762140
Size: 16.34 MB
Format: PDF, ePub
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Soft Computing In Engineering Design And Manufacturing from the Author: Pravir K. Chawdhry. This book is a collection of some 47 research papers that were presented in June 1997 at the 2nd Online World Conference in soft computing. It covers the state-of-the-art techniques and applications of soft computing which will stimulate further advances towards the next generation of intelligent machines. The papers are organised into eight sections which cover areas such as genetic algorithms, engineering design, manufacturing and robotics. The book's main focus, though, is on the existence and interaction of fuzzy, neural and evolutionary computing techniques. Though fundamentally quite different from one another, these techniques can work incredibly well together when building intelligent systems. Soft Computing in Engineering Design and Manufacturing will be of interest to graduate students and researchers involved in soft computing. It will also be useful for those working in related industrial environments.

Taguchi S Quality Engineering Handbook

Author: Genichi Taguchi
Publisher: Wiley-Interscience
ISBN:
Size: 66.26 MB
Format: PDF, Mobi
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Taguchi S Quality Engineering Handbook from the Author: Genichi Taguchi. 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).

Axiomatic Quality

Author: Basem El-Haik
Publisher: John Wiley & Sons
ISBN: 0471714674
Size: 31.19 MB
Format: PDF
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Axiomatic Quality from the Author: Basem El-Haik. The first book to integrate axiomatic design and robust design for a comprehensive quality approach As the adoption of quality methods grows across various industries, its implementation is challenged by situations where statistical tools are inadequate, yet the earlier a proactive quality system is introduced into a given process, the greater the payback these methods will yield. Axiomatic Quality brings together two well-established theories, axiomatic design and robust design, to eliminate or reduce both conceptual and operational weaknesses. Providing a complete framework for immediate implementation, this book guides design teams in producing systems that operate at high-quality levels for each of their design requirements. And it shows the way towards achieving the Six-Sigma target--six times the standard deviation contained between the target and each side of the specification limits--for each requirement. This book develops an aggressive axiomatic quality approach that: * Provides the tools to reduce conceptual weaknesses of systems using a framework called the conceptual design for capability * Reduces operational weaknesses of systems in terms of quality losses and control costs * Uses mathematical relationships to bridge the gap between science-based engineering and quality methods Acclaro DFSS Light, a Java-based software package that implements axiomatic design processes, is available for download from a Wiley ftp site. Acclaro DFSS Light is a software product of Axiomatic Design Solutions, Inc. Laying out a comprehensive approach while working through each aspect of its implementation, Axiomatic Quality is an essential resource for managers, engineers, and other professionals who want to successfully deploy the most advanced methodology to tackle system weaknesses and improve quality.