Detalles del Título
Detalles del Título

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Título Advanced Multiresponse Process Optimisation: An Intelligent and Integrated Approach. - First edition 2016.Libro Electrónico / En Línea - Libro
Parte de Springer eBooks 2016: Colección 2016
Autor(es) Šibalija, Tatjana V (Autor)
Majstorovic, Vidosav D (Autor)
Publicación Cham, 2016.
Descripción Fí­sica 1 recurso en línea
Idioma Ingles;
ISBN 9783319192550
Materia(s) Operations research; Decision making; Artificial intelligence; Robotics; Automation; Manufacturing industries; Machines; Tools; Engineering; Manufacturing, Machines, Tools; Artificial Intelligence (incl. Robotics).; Robotics and Automation; Computational Intelligence; Operator Theory;
Nota(s) Introduction -- Review of multiresponse optimisation approaches -- An intelligent, integrated, problem-independent method for multiresponse process optimisation -- Implementation of an intelligent, integrated, problem-independent method to multiresponse process optimisation -- Case studies -- Conclusion
Resumen 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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