Optimal design of experiments
Subtitle: a case study approach
By: Peter Goos and Bradley Jones
Contributors: Jones, Bradley
Publisher: Wiley
Published: 2011
Place of publication: Hoboken, N.J
Language: eng
Number of pages: 287
ISBN-13: 9780470744611
Subjects: SCIENCE / Experiments & Projects; Computer-aided design; Data processing; Case studies; Industrial engineering; Experimental design; Experiments
Description: "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 &rarr; design &rarr; analysis &rarr; optimization or engineering interpretation. 4) Summary. 5) Technical appendices for the mathematically curious"--

"This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples"--
Notes: Includes bibliographical references (p. [277]-282) and index.