Title

Author

To view this PDF file best in your PC we recommend Sumatra Reader

 By: Enrique Del Castillo

Process Optimization
A Statistical Approach
Enrique Del Castillo

13.6MB

Format: PDF  |   Year: Springer, 2007   |   Mathematics

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.

Similar Books

From Vectors to Tensors By: Juan Ramón Ruíz-Tolosa, Enrique Castillo

Mathematics

. PDF

From Vectors to Tensors
Juan Ramón Ruíz-Tolosa, Enrique Castillo

Download
Extreme Value and Related Models with Applications in Engineering and Science By: Enrique Castillo, Ali S. Hadi

Mathematics

. PDF

Extreme Value and Related Models with Applications in Engineering and Science
Enrique Castillo, Ali S. Hadi

Download
Building and Solving Mathematical Programming Models in Engineering and Science By: Enrique Castillo, Antonio J. Conejo

Mathematics

. PDF

Building and Solving Mathematical Programming Models in Engineering and Science
Enrique Castillo, Antonio J. Conejo

Download
Orthogonal Sets and Polar Methods in Linear Algebra By: Enrique Castillo, ‎Angel Cobo

Mathematics

. PDF

Orthogonal Sets and Polar Methods in Linear Algebra
Applications to Matrix Calculations, Systems of Equations, Inequalities, and Linear Programming

Enrique Castillo, ‎Angel Cobo

Download
Response Surface Methodology, Third Edition By: Raymond H. Myers, Douglas C. Montgomery,

Mathematics

. PDF

Response Surface Methodology, Third Edition
Process and Product Optimization Using Designed Experiments

Raymond H. Myers, Douglas C. Montgomery,

Download
Practical Methods of Optimization By: Roger Fletcher

Mathematics

. PDF

Practical Methods of Optimization
Constrained optimization , Volume 2

Roger Fletcher

Download
Large-Scale Optimization with Applications, Part I By: Lorenz T. Biegler

Mathematics

. PDF

Large-Scale Optimization with Applications, Part I
Optimization in Inverse Problems and Design

Lorenz T. Biegler

Download
Practical Methods of Optimization, Volume 1 By: R. Fletcher

Mathematics

. DJVU

Practical Methods of Optimization, Volume 1
Unconstrained Optimization

R. Fletcher

Download
Logic-Based Methods for Optimization By: John Hooker

Mathematics

. PDF

Logic-Based Methods for Optimization
Combining Optimization and Constraint Satisfaction

John Hooker

Download
Bounds for Optimization of the Reflection Coefficient by Constrained Optimization in Hardy Spaces By: Arne Schneck

Mathematics

. PDF

Bounds for Optimization of the Reflection Coefficient by Constrained Optimization in Hardy Spaces
Arne Schneck

Download

© 2010 - 2015 | PDF Books International