03232nam a2200397 a 4500 ebr10483232 CaPaEBR m u cr cn||||||||| 110404s2011 njua sb 001 0 eng d 2011008381 9781119974017 (e-book) 9781119976165 (ePub) 9781119976172 (Mobi) 9780470744611 9781119974000 (e-book) CaPaEBR CaPaEBR (OCoLC)747411905 T57.5 .G66 2011eb 670.285 22 Goos, Peter. Optimal design of experiments [electronic resource] : a case study approach / Peter Goos, Bradley Jones. Hoboken, N.J. : Wiley, 2011. xiv, 287 p. : ill. Includes bibliographical references and index. "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. "This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples"-- Provided by publisher. Electronic reproduction. Palo Alto, Calif. : ebrary, 2011. Available via World Wide Web. Access may be limited to ebrary affiliated libraries. Industrial engineering Experiments Computer-aided design. Experimental design Data processing. Industrial engineering Case studies. Electronic books. local Jones, Bradley. ebrary, Inc. http://site.ebrary.com/lib/rucke/Doc?id=10483232 An electronic book accessible through the World Wide Web; click to view 122669 122669