Authors:
- A much stronger treatment of the topic than the Wiley books published in this area for these reasons: (1) on the strength of the book’s author and (2) on its coverage and treatment of process optimization
- Provides in the form of a text a contemporary account not only of the classical techniques and tools used in Design of Experiments (DOE) and Response Surface Methods (RSM), but also to present more advanced process optimization techniques from the recent literature which has not been used that much in industrial practice
- 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
- Includes supplementary material: sn.pub/extras
Part of the book series: International Series in Operations Research & Management Science (ISOR, volume 105)
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Table of contents (18 chapters)
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Front Matter
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Preliminaries
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Front Matter
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Elements of Response Surface Methods
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Front Matter
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Statistical Inference in Process Optimization
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Front Matter
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Robust Parameter Design and Robust Optimization
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Front Matter
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Bayesian Approaches in Process Optimization
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Front Matter
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Introduction to Optimization of Simulation and Computer Models
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Front Matter
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About this book
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.Authors and Affiliations
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Pennsylvania State University, USA
Enrique Del Castillo
Bibliographic Information
Book Title: Process Optimization
Book Subtitle: A Statistical Approach
Authors: Enrique Del Castillo
Series Title: International Series in Operations Research & Management Science
DOI: https://doi.org/10.1007/978-0-387-71435-6
Publisher: Springer New York, NY
eBook Packages: Business and Economics, Business and Management (R0)
Copyright Information: Springer-Verlag US 2007
Hardcover ISBN: 978-0-387-71434-9Published: 06 August 2007
Softcover ISBN: 978-1-4419-4396-5Published: 29 November 2010
eBook ISBN: 978-0-387-71435-6Published: 14 September 2007
Series ISSN: 0884-8289
Series E-ISSN: 2214-7934
Edition Number: 1
Number of Pages: XVIII, 462
Number of Illustrations: 76 b/w illustrations
Topics: Probability Theory and Stochastic Processes, Quality Control, Reliability, Safety and Risk, Engineering Design, Statistical Theory and Methods, Statistics, general, Mathematical Modeling and Industrial Mathematics