Enrique Del Castillo

Process Optimization

A Statistical Approach

• Gebundenes Buch

Produktbeschreibung

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.

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Produktdetails

• International Series in Operations Research & Management Science 105
• Verlag: Springer / Springer US / Springer, Berlin
• Artikelnr. des Verlages: 11380856, 978-0-387-71434-9
• 2007
• Seitenzahl: 484
• Erscheinungstermin: 6. August 2007
• Englisch
• Abmessung: 241mm x 160mm x 31mm
• Gewicht: 804g
• ISBN-13: 9780387714349
• ISBN-10: 0387714340
• Artikelnr.: 22743391

Autorenporträt

Enrique del Castillo, The Pennsylvania State University, PA, USA

Inhaltsangabe

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.