International Series in Operations Research & Management Science

Process Optimization

A Statistical Approach

Authors: Del Castillo, Enrique

  • A much stronger treatment of the topic than the Wiley books published in this area, making this text a must-have for students and lecturers alike
  • Provides a complete exposition of mainstream experimental design techniques and response surface methods
  • Contains a mix of technical and practical sections, appropriate for a first year graduate text in the subject or useful for self-study or reference
  • Presents a detailed treatment of Bayesian Optimization approaches based on experimental data and includes an introduction to Bayesian inference
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eBook $89.00
price for USA (gross)
  • ISBN 978-0-387-71435-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $124.00
price for USA
  • ISBN 978-0-387-71434-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $124.00
price for USA
  • ISBN 978-1-4419-4396-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this Textbook

PROCESS OPTIMIZATION: A Statistical Approach is a textbook for a course in experimental optimization techniques for industrial production processes and other "noisy" systems where the main emphasis is process optimization. The book can also be used as a reference text by Industrial, Quality and Process Engineers and Applied Statisticians working in industry, in particular, in semiconductor/electronics manufacturing and in biotech manufacturing industries.

The major features of PROCESS OPTIMIZATION: A Statistical Approach are:

  • It provides a complete exposition of mainstream experimental design techniques, including designs for first and second order models, response surface and optimal designs;
  • Discusses mainstream response surface method in detail, including unconstrained and constrained (i.e., ridge analysis and dual and multiple response) approaches;
  • Includes an extensive discussion of Robust Parameter Design (RPD) problems, including experimental design issues such as Split Plot designs and recent optimization approaches used for RPD;
  • Presents a detailed treatment of Bayesian Optimization approaches based on experimental data (including an introduction to Bayesian inference), including single and multiple response optimization and model robust optimization;
  • Provides an in-depth presentation of the statistical issues that arise in optimization problems, including confidence regions on the optimal settings of a process, stopping rules in experimental optimization and more;
  • Contains a discussion on robust optimization methods as used in mathematical programming and their application in response surface optimization;
  • Offers software programs written in MATLAB and MAPLE to implement Bayesian and frequentist process optimization methods;
  • Provides an introduction to the optimization of computer and simulation experiments including and introduction to stochastic approximation and stochastic perturbation stochastic approximation (SPSA) methods;
  • Includes an introduction to Kriging methods and experimental design for computer experiments;

Provides extensive appendices on Linear Regression, ANOVA, and Optimization Results.


 

Table of contents (18 chapters)

Buy this book

eBook $89.00
price for USA (gross)
  • ISBN 978-0-387-71435-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $124.00
price for USA
  • ISBN 978-0-387-71434-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $124.00
price for USA
  • ISBN 978-1-4419-4396-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Process Optimization
Book Subtitle
A Statistical Approach
Authors
Series Title
International Series in Operations Research & Management Science
Series Volume
105
Copyright
2007
Publisher
Springer US
Copyright Holder
Springer-Verlag US
eBook ISBN
978-0-387-71435-6
DOI
10.1007/978-0-387-71435-6
Hardcover ISBN
978-0-387-71434-9
Softcover ISBN
978-1-4419-4396-5
Series ISSN
0884-8289
Edition Number
1
Number of Pages
XVIII, 462
Number of Illustrations and Tables
76 b/w illustrations
Topics