Author: Jiju Antony

Publisher: Elsevier

ISBN: 0080994199

Category: Technology & Engineering

Page: 220

View: 2072

The 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
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Author: Jiju Antony

Publisher: Elsevier

ISBN: 0080469957

Category: Technology & Engineering

Page: 190

View: 4628

The tools and technique used in the Design of Experiments (DOE) have been proved successful in meeting the challenge of continuous improvement over the last 15 years. However, research has shown that applications of these techniques in small and medium-sized manufacturing companies are limited due to a lack of statistical knowledge required for their effective implementation. Although many books have been written in 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 by those using statistical methods and readers will find the concepts in this book both familiar and easy to understand. The book treats Planning, Communication, Engineering, Teamwork and Statistical Skills in separate chapters and then combines these skills through the use of many industrial case studies. Design of Experiments forms part of the suite of tools used in Six Sigma. Key features: * Provides essential DOE techniques for process improvement initiatives * Introduces simple graphical techniques as an alternative to advanced statistical methods – reducing time taken to design and develop prototypes, reducing time to reach the market * Case studies place DOE techniques in the context of different industry sectors * An excellent resource for the Six Sigma training program This book will be useful to 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. Dr Jiju Anthony is Senior Teaching Fellow at the International Manufacturing Unit at Warwick University. He is also a trainer and consultant in DOE and has worked as such for a number of companies including Motorola, Vickers, Procter and Gamble, Nokia, Bosch and a large number of SMEs. * Provides essential DOE techniques for process improvement initiatives * Introduces simple graphical techniques as an alternative to advanced statistical methods - reducing time taken to design and conduct tests * Case studies place DOE techniques in the context of different industry sectors
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Author: Jiju Antony

Publisher: Elsevier

ISBN: 9780081013168

Category: Technology & Engineering

Page: 222

View: 9118

The 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 lasttwo decades. However research has shown that application of this powerful technique in many companiesis 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 asthrough 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 studiesits importance in the service industry. Itis essential reading forengineers 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 learnhow to use DoEExplainswhy teaching DoE techniques in the improvement phase of Six Sigma is animportant part of problem solving methodologyNew editionincludes a full chapter on DoE for services as well as case studies illustrating its wider application in the service industry"
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For Engineers and Scientists

Author: William J. Diamond

Publisher: John Wiley & Sons

ISBN: 9780471390541

Category: Business & Economics

Page: 423

View: 3932

Most books cover the subject from a statistical or theoretical point of view. Ideal for working engineers, this book uses real-world examples and boils statistical theory and analysis down to its simplest form. * Features new and updated material, including cases and a larger focus on multivariate analysis. * Uses simple analysis tools for practical implementation on the job. * Targets experiment planning as the groundwork for quality experiments.
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Theory and Applications

Author: Ajit C. Tamhane

Publisher: John Wiley & Sons

ISBN: 1118491432

Category: Science

Page: 720

View: 7366

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.
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Author: Douglas C. Montgomery

Publisher: John Wiley & Sons

ISBN: 0470128666

Category: Technology & Engineering

Page: 680

View: 330

This bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments. The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS. Additional material has also been added in several chapters, including new developments in robust design and factorial designs. New examples and exercises are also presented to illustrate the use of designed experiments in service and transactional organizations. Engineers will be able to apply this information to improve the quality and efficiency of working systems.
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A Case Study Approach

Author: Peter Goos,Bradley Jones

Publisher: John Wiley & Sons

ISBN: 1119976162

Category: Science

Page: 304

View: 7101

"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.
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16 Steps to Product and Process Improvement

Author: Ranjit K. Roy

Publisher: John Wiley & Sons

ISBN: 9780471361015

Category: Business & Economics

Page: 538

View: 6992

Accompanying CD-ROM contains ... "Qualitek-4: automatic design & analysis of Taguchi experiments (full featured working model - demo); all the examples, exercise solutions, and case studies in the book."--CD-ROM label.
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Author: Gareth A. Lewis,Didier Mathieu,Roger Phan-Tan-Luu

Publisher: CRC Press

ISBN: 0824746880

Category: Mathematics

Page: 512

View: 9218

This useful reference describes the statistical planning and design of pharmaceutical experiments, covering all stages in the development process-including preformulation, formulation, process study and optimization, scale-up, and robust process and formulation development.Shows how to overcome pharmaceutical, technological, and economic constraints on experiment design!Directly comparing the advantages and disadvantages of specific techniques, Pharmaceutical Experimental Design· offers broad, detailed, up-to-date descriptions of designs and methods not easily accessible in other books· reviews screening designs for qualitative factors at different levels· presents designs for predictive models and their use in optimization· highlights optimization methods, such as steepest ascent, optimum path, canonical analysis, graphical analysis, and desirability· discusses the Taguchi method for quality assurance and approaches for robust scaling up and process transfer· details nonstandard designs and mixtures· analyzes factorial, D-optimal design, and offline quality assurance techniques· reveals how one experimental design evolves from another· and more!Featuring over 700 references, tables, equations, and drawings, Pharmaceutical Experimental Design is suitable for industrial, research, and clinical pharmaceutical scientists, pharmacists, and pharmacologists; statisticians and biostatisticians; drug regulatory affairs personnel; biotechnologists; formulation, analytical, and synthetic chemists and engineers, quality assurance personnel; all users of statistical experimental design in research and development; and postgraduate and postdoctoral research workers in these disciplines.
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With Applications to Engineering and Science

Author: Robert L. Mason,Richard F. Gunst,James L. Hess

Publisher: Wiley-Interscience

ISBN: 9780471372165

Category: Mathematics

Page: 760

View: 5425

Emphasizes the strategy of experimentation, data analysis, and the interpretation of experimental results. Features numerous examples using actual engineering and scientific studies. Presents statistics as an integral component of experimentation from the planning stage to the presentation of the conclusions. Deep and concentrated experimental design coverage, with equivalent but separate emphasis on the analysis of data from the various designs. Topics can be implemented by practitioners and do not require a high level of training in statistics. New edition includes new and updated material and computer output.
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Author: Gregory S. Patience

Publisher: Elsevier

ISBN: 0444637923

Category: Technology & Engineering

Page: 424

View: 7926

Experimental Methods and Instrumentation for Chemical Engineers, Second Edition, touches many aspects of engineering practice, research, and statistics. The principles of unit operations, transport phenomena, and plant design constitute the focus of chemical engineering in the latter years of the curricula. Experimental methods and instrumentation is the precursor to these subjects. This resource integrates these concepts with statistics and uncertainty analysis to define what is necessary to measure and to control, how precisely and how often. The completely updated second edition is divided into several themes related to data: metrology, notions of statistics, and design of experiments. The book then covers basic principles of sensing devices, with a brand new chapter covering force and mass, followed by pressure, temperature, flow rate, and physico-chemical properties. It continues with chapters that describe how to measure gas and liquid concentrations, how to characterize solids, and finally a new chapter on spectroscopic techniques such as UV/Vis, IR, XRD, XPS, NMR, and XAS. Throughout the book, the author integrates the concepts of uncertainty, along with a historical context and practical examples. A problem solutions manual is available from the author upon request. Includes the basics for 1st and 2nd year chemical engineers, providing a foundation for unit operations and transport phenomena Features many practical examples Offers exercises for students at the end of each chapter Includes up-to-date detailed drawings and photos of equipment
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Author: John Lawson,John Erjavec

Publisher: CRC Press

ISBN: 1466512180

Category: Business & Economics

Page: 450

View: 8922

Although books covering experimental design are often written for academic courses taken by statistics majors, most experiments performed in industry and academic research are designed and analyzed by non-statisticians. Therefore, a need exists for a desk reference that will be useful to practitioners who use experimental designs in their work. This book fills that gap. It is written as a guide that can be used as a reference book or as a sole or supplemental text for a university course.
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Author: Paul G. Mathews

Publisher: ASQ Quality Press

ISBN: 0873896378

Category: Computers

Page: 499

View: 2548

Most of the classic DOE books were written before DOE software was generally available, so the technical level that they assumed was that of the engineer or scientist who had to write his or her own analysis software. In this practical introduction to DOE, guided by the capabilities of the common software packages, Paul Mathews presents the basic types and methods of designed experiments appropriate for engineers, scientists, quality engineers, and Six Sigma Black Belts and Master Black Belts. Although instructions in the use of MINITAB are detailed enough to provide effective guidance to a new MINITAB user, the book is still general enough to be very helpful to users of other DOE software packages. Every chapter contains many examples with detailed solutions including extensive output from MINITAB. Preview a sample chapter from this book along with the full table of contents by clicking here.You will need Adobe Acrobat to view this pdf file.
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Author: Peter R. Nelson,Marie Coffin,Karen A. F. Copeland

Publisher: Academic Press

ISBN: 0125154232

Category: Technology & Engineering

Page: 514

View: 6365

A concise treatment for undergraduate and graduate students who need a guide to statistics that focuses specifically on engineering.
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Author: David L. McDowell,Jitesh Panchal,Hae-Jin Choi,Carolyn Seepersad,Janet Allen,Farrokh Mistree

Publisher: Butterworth-Heinemann

ISBN: 9780080952208

Category: Technology & Engineering

Page: 392

View: 6109

Integrated Design of Multiscale, Multifunctional Materials and Products is the first of its type to consider not only design of materials, but concurrent design of materials and products. In other words, materials are not just selected on the basis of properties, but the composition and/or microstructure iw designed to satisfy specific ranged sets of performance requirements. This book presents the motivation for pursuing concurrent design of materials and products, thoroughly discussing the details of multiscale modeling and multilevel robust design and provides details of the design methods/strategies along with selected examples of designing material attributes for specified system performance. It is intended as a monograph to serve as a foundational reference for instructors of courses at the senior and introductory graduate level in departments of materials science and engineering, mechanical engineering, aerospace engineering and civil engineering who are interested in next generation systems-based design of materials. First of its kind to consider not only design of materials, but concurrent design of materials and products Treatment of uncertainty via robust design of materials Integrates the "materials by design approach" of Olson/Ques Tek LLC with the "materials selection" approach of Ashby/Granta Distinquishes the processes of concurrent design of materials and products as an overall systems design problem from the field of multiscale modeling Systematic mathematical algorithms and methods are introduced for robust design of materials, rather than ad hoc heuristics--it is oriented towards a true systems approach to design of materials and products
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Author: Bhisham C. Gupta,Irwin Guttman

Publisher: John Wiley & Sons

ISBN: 1118522206

Category: Mathematics

Page: 896

View: 6923

Introducing the tools of statistics and probability from the ground up An understanding of statistical tools is essential for engineers and scientists who often need to deal with data analysis over the course of their work. Statistics and Probability with Applications for Engineers and Scientists walks readers through a wide range of popular statistical techniques, explaining step-by-step how to generate, analyze, and interpret data for diverse applications in engineering and the natural sciences. Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory. Along with case studies, examples, and real-world data sets, the book incorporates clear instructions on how to use the statistical packages Minitab® and Microsoft® Office Excel® to analyze various data sets. The book also features: • Detailed discussions on sampling distributions, statistical estimation of population parameters, hypothesis testing, reliability theory, statistical quality control including Phase I and Phase II control charts, and process capability indices • A clear presentation of nonparametric methods and simple and multiple linear regression methods, as well as a brief discussion on logistic regression method • Comprehensive guidance on the design of experiments, including randomized block designs, one- and two-way layout designs, Latin square designs, random effects and mixed effects models, factorial and fractional factorial designs, and response surface methodology • A companion website containing data sets for Minitab and Microsoft Office Excel, as well as JMP ® routines and results Assuming no background in probability and statistics, Statistics and Probability with Applications for Engineers and Scientists features a unique, yet tried-and-true, approach that is ideal for all undergraduate students as well as statistical practitioners who analyze and illustrate real-world data in engineering and the natural sciences.
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Author: K Srinagesh

Publisher: Elsevier

ISBN: 0080497810

Category: Business & Economics

Page: 432

View: 4996

The need to understand how to design and set up an investigative experiment is nearly universal to all students in engineering, applied technology and science, as well as many of the social sciences. Many schools offer courses in this fundamental skill and this book is meant to offer an easily accessible introduction to the essential tools needed, including an understanding of logical processes, how to use measurement, the do’s and don’ts of designing experiments so as to achieve reproducible results and the basic mathematical underpinnings of how data should be analyzed and interpreted. The subject is also taught as part of courses on Engineering statistics, Quality Control in Manufacturing, and Senior Design Project, in which conducting experimental research is usually integral to the project in question. * Covers such essential fundamentals as "definitions," "quantification," and standardization of test materials * Shows students and professionals alike how to plan an experiment—from how to frame a proper Hypothesis to designing an experiment to accurately reflect the nature of the problem to "designing with factors." * Includes a separate section on the use of Statistics in Experimental Research, including overview of probability and statistics, as well as Randomization, Replication and Sampling, as well as proper ways to draw statistical inferences from experimental data.
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Practical Methods for Engineers and Scientists

Author: Paul Mathews

Publisher: Mathews Malnar and Bailey

ISBN: 0615324614

Category: Mathematics

Page: 338

View: 9744

Sample Size Calculations: Practical Methods for Engineers and Scientists presents power and sample size calculations for common statistical analyses including methods for means, standard deviations, proportions, counts, regression, correlation, and measures of agreement. Topics of special interest to quality engineering professionals include designed experiments, reliability studies, statistical process control, acceptance sampling, process capability analysis, statistical tolerancing, and gage error studies. The book emphasizes approximate methods, but exact methods are presented when the approximate methods fail. Monte Carlo and bootstrap methods are introduced for situations that don't satisfy the assumptions of the analytical methods. Solutions are presented for more than 170 example problems and solutions for selected example problems using PASS, MINITAB, Piface, and R are posted on the Internet.
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Author: Harrison M. Wadsworth

Publisher: McGraw Hill Professional

ISBN: 9780070676787

Category: Mathematics

Page: 688

View: 809

This text is designed to be an interdisciplinary reference work for engineers and scientists who use statistics and statistical methods in their everyday work. This edition has new sections on acceptance sampling, computer software, and added graphical tools.
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Author: Normand L. Frigon,David Mathews

Publisher: John Wiley & Sons

ISBN: 9780471139195

Category: Technology & Engineering

Page: 342

View: 8107

Over the last decade, Design of Experiments (DOE) has become established as a prime analytical and forecasting method with a vital role to play in product and process improvement. Now Practical Guide to Experimental Design lets you put this high-level statistical technique to work in your field, whether you are in the manufacturing or services sector. This accessible book equips you with all of the basic technical and managerial skills you need to develop, execute, and evaluate designed experiments effectively. You will develop a solid grounding in the statistical underpinnings of DOE, including distributions, analysis of variance, and more. You will also gain a firm grasp of full and fractional factorial techniques, the use of DOE in fault isolation and failure analysis, and the application of individual DOE methods within an integrated system. Each procedure is clearly illustrated one step at a time with the help of simplified notation and easy-to-understand spreadsheets. The book's real-world approach is reinforced throughout by case studies, examples, and exercises taken from a broad cross section of business applications. Practical Guide to Experimental Design is a valuable competitive asset for engineers, scientists, and decision-makers in many industries, as well as an important resource for researchers and advanced students.
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