عنوان

Optimal design of experiments

Erroneous ISBN

9780470744611

Erroneous ISBN

9781119974000 (e-book)

Erroneous ISBN

9781119974017 (e-book)

Erroneous ISBN

9781119976165 (ePub)

Erroneous ISBN

9781119976172 (Mobi)

Number

b402041

Title Proper

Optimal design of experiments

General Material Designation

[Book]

Other Title Information

a case study approach /

First Statement of Responsibility

Peter Goos, Bradley Jones.

Place of Publication, Distribution, etc.

Hoboken, N.J. :

Name of Publisher, Distributor, etc.

Wiley,

Date of Publication, Distribution, etc.

2011.

Specific Material Designation and Extent of Item

xiv, 287 p. :

Other Physical Details

ill.

Text of Note

Includes bibliographical references and index.

Text of Note

"This book demonstrates the utility of the computer-aided optimal design approach using real industrial examples"--

Text of Note

"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"--

Experimental design-- Data processing.

Industrial engineering-- Experiments-- Computer-aided design.

Industrial engineering, Case studies.

Goos, Peter.

Jones, Bradley.

ProQuest (Firm)

Date of Transaction

20171016204100.0

Electronic name

[Book]

Y