Understanding Industrial Designed Experiments
Author: Stephen R. Schmidt
Publisher:
Published: 1994
Total Pages: 768
ISBN-13: 9781880156032
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Understanding Industrial Designed Experiments
Author: Stephen R. Schmidt
Publisher:
Published: 1992
Total Pages: 622
ISBN-13:
DOWNLOAD EBOOKDesign of Experiments for Engineers and Scientists
Author: Jiju Antony
Publisher: Elsevier
Published: 2014-02-22
Total Pages: 221
ISBN-13: 0080994199
DOWNLOAD EBOOKThe tools and techniques used in Design of Experiments (DoE) have been proven successful in meeting the challenge of continuous improvement in many manufacturing organisations over the last two decades. However research has shown that application of this powerful technique in many companies is limited due to a lack of statistical knowledge required for its effective implementation.Although many books have been written on this subject, they are mainly by statisticians, for statisticians and not appropriate for engineers. Design of Experiments for Engineers and Scientists overcomes the problem of statistics by taking a unique approach using graphical tools. The same outcomes and conclusions are reached as through using statistical methods and readers will find the concepts in this book both familiar and easy to understand.This new edition includes a chapter on the role of DoE within Six Sigma methodology and also shows through the use of simple case studies its importance in the service industry. It is essential reading for engineers and scientists from all disciplines tackling all kinds of manufacturing, product and process quality problems and will be an ideal resource for students of this topic. - Written in non-statistical language, the book is an essential and accessible text for scientists and engineers who want to learn how to use DoE - Explains why teaching DoE techniques in the improvement phase of Six Sigma is an important part of problem solving methodology - New edition includes a full chapter on DoE for services as well as case studies illustrating its wider application in the service industry
Statistical Analysis of Designed Experiments
Author: Ajit C. Tamhane
Publisher: John Wiley & Sons
Published: 2012-09-12
Total Pages: 724
ISBN-13: 1118491432
DOWNLOAD EBOOKA 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.
Understanding Design of Experiments
Author: R.J. Del Vecchio
Publisher: Carl Hanser Verlag GmbH Co KG
Published: 2014-04-10
Total Pages: 191
ISBN-13: 3446442472
DOWNLOAD EBOOKThe author’s step-by-step approach leads the reader through the basic concepts and practices of the methodology, supplying instructions on convenient designs. Partial Contents: Basic Statistics. Fundamentals of Experimentation. Fractional Designs. Examples. Using Eight-Run Designs. Simple Designs. Folded-Over Designs. Nomenclature and Design Variations. Estimation of Scatter. Sizing of Experiments. Strategies. Response Surface Methods. Mixture Designs. Latin Squares. Analysis of Variance. Taguchi’s Contributions. Advanced Topics. Computer Programs. Reviews: " ... meets a unique and useful niche by starting with basic concepts and building logically ... The author is very empathetic and helpful to readers who may feel they have less than the needed mathematical skills ... Proper use of these methods is absolutely essential to successful research and development in the modern age."—Rubber World Magazine "To recap this book in a sentence: The goal ... is to glean the maximum amount of information from a minimum amount of work." —Injection Molding Magazine
Optimal Design of Experiments
Author: Peter Goos
Publisher: John Wiley & Sons
Published: 2011-06-28
Total Pages: 249
ISBN-13: 1119976162
DOWNLOAD EBOOK"This is an engaging and informative book on the modern practice of experimental design. The authors' writing style is entertaining, the consulting dialogs are extremely enjoyable, and the technical material is presented brilliantly but not overwhelmingly. The book is a joy to read. Everyone who practices or teaches DOE should read this book." - Douglas C. Montgomery, Regents Professor, Department of Industrial Engineering, Arizona State University "It's been said: 'Design for the experiment, don't experiment for the design.' This book ably demonstrates this notion by showing how tailor-made, optimal designs can be effectively employed to meet a client's actual needs. It should be required reading for anyone interested in using the design of experiments in industrial settings." —Christopher J. Nachtsheim, Frank A Donaldson Chair in Operations Management, Carlson School of Management, University of Minnesota This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples. These examples address questions such as the following: How can I do screening inexpensively if I have dozens of factors to investigate? What can I do if I have day-to-day variability and I can only perform 3 runs a day? How can I do RSM cost effectively if I have categorical factors? How can I design and analyze experiments when there is a factor that can only be changed a few times over the study? How can I include both ingredients in a mixture and processing factors in the same study? How can I design an experiment if there are many factor combinations that are impossible to run? How can I make sure that a time trend due to warming up of equipment does not affect the conclusions from a study? How can I take into account batch information in when designing experiments involving multiple batches? How can I add runs to a botched experiment to resolve ambiguities? While answering these questions the book also shows how to evaluate and compare designs. This allows researchers to make sensible trade-offs between the cost of experimentation and the amount of information they obtain.
Handbook of Design and Analysis of Experiments
Author: Angela Dean
Publisher: CRC Press
Published: 2015-06-26
Total Pages: 946
ISBN-13: 146650434X
DOWNLOAD EBOOKThis carefully edited collection synthesizes the state of the art in the theory and applications of designed experiments and their analyses. It provides a detailed overview of the tools required for the optimal design of experiments and their analyses. The handbook covers many recent advances in the field, including designs for nonlinear models and algorithms applicable to a wide variety of design problems. It also explores the extensive use of experimental designs in marketing, the pharmaceutical industry, engineering and other areas.
Design of Experiments
Author: Max Morris
Publisher: CRC Press
Published: 2010-07-27
Total Pages: 376
ISBN-13: 1439894906
DOWNLOAD EBOOKOffering deep insight into the connections between design choice and the resulting statistical analysis, Design of Experiments: An Introduction Based on Linear Models explores how experiments are designed using the language of linear statistical models. The book presents an organized framework for understanding the statistical aspects of experiment
Practical Guide to Designed Experiments
Author: Paul D Funkenbusch
Publisher: CRC Press
Published: 2021-09-30
Total Pages: 220
ISBN-13: 9781032180144
DOWNLOAD EBOOKPresenting essential material in a way that permits rapid application to practical problems, this guide provides the structure and understanding necessary for long-term growth. The author first explains how the components fit and work together to make a successful experimental design, then analyzes each component in detail, presenting the various a
A First Course in Design and Analysis of Experiments
Author: Gary W. Oehlert
Publisher: W. H. Freeman
Published: 2000-01-19
Total Pages: 600
ISBN-13: 9780716735106
DOWNLOAD EBOOKOehlert's text is suitable for either a service course for non-statistics graduate students or for statistics majors. Unlike most texts for the one-term grad/upper level course on experimental design, Oehlert's new book offers a superb balance of both analysis and design, presenting three practical themes to students: • when to use various designs • how to analyze the results • how to recognize various design options Also, unlike other older texts, the book is fully oriented toward the use of statistical software in analyzing experiments.
