Process Optimization

A Statistical Approach

Enrique del Castillo (Autor)

Buch | Softcover

462 Seiten

2010 | 1st ed. Softcover of orig. ed. 2007
Springer-Verlag New York Inc.
978-1-4419-4396-5 (ISBN)

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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.

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.

Erscheint lt. Verlag	29.11.2010
Reihe/Serie	International Series in Operations Research Management Science ; 105
Zusatzinfo	76 Illustrations, black and white
Verlagsort	New York, NY
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Mathematik ► Angewandte Mathematik
	Mathematik / Informatik ► Mathematik ► Wahrscheinlichkeit / Kombinatorik
	Technik ► Bauwesen
	Technik ► Maschinenbau
	Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion
ISBN-10	1-4419-4396-X / 144194396X
ISBN-13	978-1-4419-4396-5 / 9781441943965
Zustand	Neuware