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Author: William J. Diamond
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 378
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Book Description
Fundamentals of experiment design; Introduction to experiment design: fundamental concepts; Introduction to experiment design: elements of decision making; Introduction to experiment design: other important concepts; Simple comparative experiments: decisions about population means; Simple comparative experiments: decisions about population variances; Sequential experiments. Two-level multivariable experiments; General principles for two-level multivariable experiments; Two-level multivariable experiments: eight-trial hadamard matrix designs; Two-level multivariable experiments: hadamard matrices greater than order 8; John's three-quarter fractional factorials; Special resolution V designs; Summary of two-level matrix designs; A computer program for generating hadamard matrix designs and analyzing the data from such designs; Multilevel, multivariable experiments; Multilevel experiments with qualitative variables; Multilevel experiments with quantitative variables; Experiment designs for chemical-composition experiments; Random-strategy experiments; Related topics; Blocking an experiment; Validation of test methods; Concepts for a complete project strategy; General references, symbols, tables, and answers to exercises; Index.
Author: William J. Diamond
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 378
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Book Description
Fundamentals of experiment design; Introduction to experiment design: fundamental concepts; Introduction to experiment design: elements of decision making; Introduction to experiment design: other important concepts; Simple comparative experiments: decisions about population means; Simple comparative experiments: decisions about population variances; Sequential experiments. Two-level multivariable experiments; General principles for two-level multivariable experiments; Two-level multivariable experiments: eight-trial hadamard matrix designs; Two-level multivariable experiments: hadamard matrices greater than order 8; John's three-quarter fractional factorials; Special resolution V designs; Summary of two-level matrix designs; A computer program for generating hadamard matrix designs and analyzing the data from such designs; Multilevel, multivariable experiments; Multilevel experiments with qualitative variables; Multilevel experiments with quantitative variables; Experiment designs for chemical-composition experiments; Random-strategy experiments; Related topics; Blocking an experiment; Validation of test methods; Concepts for a complete project strategy; General references, symbols, tables, and answers to exercises; Index.
Author: Jiju Antony
Publisher: Elsevier
ISBN: 0080994199
Category : Technology & Engineering
Languages : en
Pages : 221
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Book Description
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
Author: Zivorad R. Lazic
Publisher: John Wiley & Sons
ISBN: 3527604596
Category : Science
Languages : en
Pages : 620
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Book Description
While existing books related to DOE are focused either on process or mixture factors or analyze specific tools from DOE science, this text is structured both horizontally and vertically, covering the three most common objectives of any experimental research: * screening designs * mathematical modeling, and * optimization. Written in a simple and lively manner and backed by current chemical product studies from all around the world, the book elucidates basic concepts of statistical methods, experiment design and optimization techniques as applied to chemistry and chemical engineering. Throughout, the focus is on unifying the theory and methodology of optimization with well-known statistical and experimental methods. The author draws on his own experience in research and development, resulting in a work that will assist students, scientists and engineers in using the concepts covered here in seeking optimum conditions for a chemical system or process. With 441 tables, 250 diagrams, as well as 200 examples drawn from current chemical product studies, this is an invaluable and convenient source of information for all those involved in process optimization.
Author: Peter Goos
Publisher: John Wiley & Sons
ISBN: 1119976162
Category : Science
Languages : en
Pages : 249
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Book Description
"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.
Author: Normand L. Frigon
Publisher: John Wiley & Sons
ISBN: 9780471139195
Category : Technology & Engineering
Languages : en
Pages : 352
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Book Description
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. This hands-on guide offers complete, down-to-earth coverage of Design of Experiments (DOE) basics, providing you with the technical and managerial tools you need to put this powerful technique into action to help you achieve your quality improvement objectives. Using a clear, step-by-step approach, Practical Guide to Experimental Design shows you how to develop, perform, and analyze designed experiments. The book features: * Accessible coverage of statistical concepts, including data acquisition, reporting of results, sampling and other distributions, and more * A complete range of analytical procedures - analysis of variance, full and fractional factorial DOE, and the role of DOE in fault isolation and failure analysis * In-depth case studies, examples, and exercises covering a range of different uses of DOE * Broad applications across manufacturing, service, administrative, and other business sectors No matter what your field, Practical Guide to Experimental Design provides you with the "on-the-ground" assistance necessary to transform DOE theory into practice - the ideal guide for engineers, scientists, researchers, and advanced students.
Author: John Allen Robinson
Publisher: Elsevier
ISBN: 0080474403
Category : Computers
Languages : en
Pages : 429
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Book Description
Software Design for Engineers and Scientists integrates three core areas of computing:. Software engineering - including both traditional methods and the insights of 'extreme programming'. Program design - including the analysis of data structures and algorithms. Practical object-oriented programmingWithout assuming prior knowledge of any particular programming language, and avoiding the need for students to learn from separate, specialised Computer Science texts, John Robinson takes the reader from small-scale programing to competence in large software projects, all within one volume. Copious examples and case studies are provided in C++.The book is especially suitable for undergraduates in the natural sciences and all branches of engineering who have some knowledge of computing basics, and now need to understand and apply software design to tasks like data analysis, simulation, signal processing or visualisation. John Robinson introduces both software theory and its application to problem solving using a range of design principles, applied to the creation of medium-sized systems, providing key methods and tools for designing reliable, efficient, maintainable programs. The case studies are presented within scientific contexts to illustrate all aspects of the design process, allowing students to relate theory to real-world applications. - Core computing topics - usually found in separate specialised texts - presented to meetthe specific requirements of science and engineering students - Demonstrates good practice through applications, case studies and worked examplesbased in real-world contexts
Author: William J. Diamond
Publisher: John Wiley & Sons
ISBN: 9780471390541
Category : Technology & Engineering
Languages : en
Pages : 454
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Book Description
Um aussagefähige Ergebnisse zu liefern, wollen Experimente gut durchdacht sein. Diese durchgehend aktualisierte 3. Auflage des äußerst erfolgreichen Praxishandbuchs zum Design von Experimenten zeigt Ihnen anschaulich und eingängig, was Sie beachten müssen. Die Verwendung ausschließlich einfacher analytischer Hilfsmittel erleichtert das Verständnis des Stoffes.
Author: Paul G. Mathews
Publisher: Quality Press
ISBN: 0873895878
Category : Business & Economics
Languages : en
Pages : 521
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Book Description
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.
Author: David J. Glass
Publisher: CSHL Press
ISBN: 0879697350
Category : Biology
Languages : en
Pages : 211
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Book Description
The effective design of scientific experiments is critical to success, yet graduate students receive very little formal training in how to do it. Based on a well-received course taught by the author, Experimental Design for Biologistsfills this gap. Experimental Design for Biologistsexplains how to establish the framework for an experimental project, how to set up a system, design experiments within that system, and how to determine and use the correct set of controls. Separate chapters are devoted to negative controls, positive controls, and other categories of controls that are perhaps less recognized, such as “assumption controls†and “experimentalist controls†. Furthermore, there are sections on establishing the experimental system, which include performing critical “system controls†. Should all experimental plans be hypothesis-driven? Is a question/answer approach more appropriate? What was the hypothesis behind the Human Genome Project? What color is the sky? How does one get to Carnegie Hall? The answers to these kinds of questions can be found in Experimental Design for Biologists. Written in an engaging manner, the book provides compelling lessons in framing an experimental question, establishing a validated system to answer the question, and deriving verifiable models from experimental data. Experimental Design for Biologistsis an essential source of theory and practical guidance in designing a research plan.
Author: Colin Hardwick
Publisher: Createspace Independent Pub
ISBN: 9781482760996
Category : Science
Languages : en
Pages : 50
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Book Description
The tools and technique used in the Design of Experiments (DOE) have been used around the world to solve seemingly impossible problems in science and engineering. The majority of engineers and scientists have had little exposure to this important technique and this book has been written with the authors 30 years experience in practical design of experiments aimed squarely at practising engineers and scientists rather than statisticians and mathematicians. Practical Design of Experiments takes a graphical approach using a software tool called Minitab. The author concentrates on each step of using the technique with explanations along the way of each decision point. Readers will find this guide both practical and useful, with copious screenshots of the software in use and clear precise explanations. The emphasis is on quantifying the effects of a number of variables before optimising them. Key points: * Provides tools and techniques for practical business and process improvement. * Introduces screenshots and explanations for each step of designing an experiment, carrying out an experiment and then analysing the results. * A worked example, again explained step by step with advice from the author at each step. This book will be extremely useful to engineers and scientists who want to solve quality, process and manufacturing problems quickly and easily. About the Author Colin Hardwick is the leading expert in the practical use of Design of Experiments in the UK. He holds a Masters Degree in Manufacturing Systems from Warwick University and a Bachelors Degree in Mechanical Engineering from Sheffield. He has trained people extensively in Design of Experiments and is currently Engineering & Quality Director at Chemring PLC. A qualified Master Black Belt in Lean Six Sigma, he has also worked for other major companies such as Rolls-Royce and GEC.
