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Optimal design of experiments : a case study approach / Peter Goos and Bradley Jones
Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: New York : John Wiley & Sons, Incorporated, 2011Edition: Online-AusgDescription: Online-Ressource (1 online resource (xiv, 287 p.)) : illISBN:- 9781283177832
- 1283177838
- 9781119974000
- 9781119976172
- 9780470744611
- 9781119976165
- Optimale Versuchsplanung
- Industrial engineering
- Experimental design
- Experimental design -- Data processing
- Industrial engineering -- Experiments -- Computer-aided design
- Industrial engineering -- Case studies
- Experimental design ; Data processing
- Industrial engineering ; Case studies
- Industrial engineering ; Experiments ; Computer-aided design
- Electronic books
- Computer-aided engineering
- 670.285
- SCI028000
- T57.5
Contents:
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"--Summary: "This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples"--PPN: PPN: 807340324Package identifier: Produktsigel: ZDB-26-MYL | ZDB-38-EBR | ZDB-30-PAD | ZDB-30-PQE
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