Description |
xiv, 287 p. : ill. |
Bibliography |
Includes bibliographical references and index. |
Summary |
"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. The structure of the book is organized around the following chapters: 1) Introduction explaining the concept of tailored DOE. 2) Basics of optimal design. 3) Nine case studies dealing with the above questions using the flow: description → design → analysis → optimization or engineering interpretation. 4) Summary. 5) Technical appendices for the mathematically curious"-- Provided by publisher. |
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"This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples"-- Provided by publisher. |
Reproduction |
Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries. |
Subject |
Industrial engineering -- Experiments -- Computer-aided design.
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Experimental design -- Data processing.
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Industrial engineering -- Case studies.
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Genre/Form |
Electronic books.
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Added Author |
Jones, Bradley.
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ProQuest (Firm)
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ISBN |
9781119974017 (e-book) |
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9781119976165 (ePub) |
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9781119976172 (Mobi) |
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9780470744611 |
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9781119974000 (e-book) |
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