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Process optimization : a statistical approach

Author: Enrique del Castillo
Publisher: New York : Springer, 2007.
Series: International series in operations research & management science, 105.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:
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  Read more...
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Additional Physical Format: Process optimization
(NL-LeOCL)321697499
Document Type: Book
All Authors / Contributors: Enrique del Castillo
ISBN: 9780387714349 0387714340 9780387714356 0387714359
OCLC Number: 783405607
Description: xviii, 459 p. : ill. ; 24 cm
Contents: Preliminaries.- An Overview of Empirical Process Optimization.- Elements of Response Surface Methods.- Optimization Of First Order Models.- Experimental Designs For First Order Models.- Analysis and Optimization of Second Order Models.- Experimental Designs for Second Order Models.- Statistical Inference in Process Optimization.- Statistical Inference in First Order RSM Optimization.- Statistical Inference in Second Order RSM Optimization.- Bias Vs. Variance.- Robust Parameter Design and Robust Optimization.- Robust Parameter Design.- Robust Optimization.- Bayesian Approaches in Process Optimization.- to Bayesian Inference.- Bayesian Methods for Process Optimization.- to Optimization of Simulation and Computer Models.- Simulation Optimization.- Kriging and Computer Experiments.- Appendices.- Basics of Linear Regression.- Analysis of Variance.- Matrix Algebra and Optimization Results.- Some Probability Results Used in Bayesian Inference.
Series Title: International series in operations research & management science, 105.
Responsibility: Enrique del Castillo.

Abstract:

This is an ideal textbook for students of experimental optimization techniques used in industrial production processes. It presents a detailed treatment of Bayesian Optimization approaches and it  Read more...

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