Advanced Multiresponse Process Optimisation: An Intelligent and Integrated Approach - Softcover

Šibalija, Tatjana V.; Majstorović, Vidosav D.

 
9783319372594: Advanced Multiresponse Process Optimisation: An Intelligent and Integrated Approach
Softcover
ISBN 10: 3319372599 ISBN 13: 9783319372594
Publisher: Springer, 2016

Synopsis

This book presents an intelligent, integrated, problem-independent method for multiresponse process optimization. In contrast to traditional approaches, the idea of this method is to provide a unique model for the optimization of various processes, without imposition of assumptions relating to the type of process, the type and number of process parameters and responses, or interdependences among them. The presented method for experimental design of processes with multiple correlated responses is composed of three modules: an expert system that selects the experimental plan based on the orthogonal arrays; the factor effects approach, which performs processing of experimental data based on Taguchi’s quality loss function and multivariate statistical methods; and process modeling and optimization based on artificial neural networks and metaheuristic optimization algorithms. The implementation is demonstrated using four case studies relating to high-tech industries and advanced, non-conventional processes.

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From the Back Cover

This book presents an intelligent, integrated, problem-independent method for multiresponse process optimization. In contrast to traditional approaches, the idea of this method is to provide a unique model for the optimization of various processes, without imposition of assumptions relating to the type of process, the type and number of process parameters and responses, or interdependences among them. The presented method for experimental design of processes with multiple correlated responses is composed of three modules: an expert system that selects the experimental plan based on the orthogonal arrays; the factor effects approach, which performs processing of experimental data based on Taguchi’s quality loss function and multivariate statistical methods; and process modeling and optimization based on artificial neural networks and metaheuristic optimization algorithms. The implementation is demonstrated using four case studies relating to high-tech industries and advanced, non-conventional processes.

"About this title" may belong to another edition of this title.

Publisher
Springer
Publication date
2016
Language
English
ISBN 10 
3319372599
ISBN 13 
9783319372594
Binding
Paperback
Number of pages
315

Other Popular Editions of the Same Title

9783319192543: Advanced Multiresponse Process Optimisation: An Intelligent and Integrated Approach

Featured Edition

ISBN 10:  331919254X ISBN 13:  9783319192543
Publisher: Springer, 2015
Hardcover