TY - BOOK AU - ?ibalija,Tatjana V. AU - Majstorovi?,Vidosav D. ED - SpringerLink (Online service) TI - Advanced Multiresponse Process Optimisation: An Intelligent and Integrated Approach SN - 9783319192550 AV - TJ241 U1 - 670 23 PY - 2016/// CY - Cham PB - Springer International Publishing, Imprint: Springer KW - Engineering KW - Operations research KW - Decision making KW - Artificial intelligence KW - Computational intelligence KW - Robotics KW - Automation KW - Manufacturing industries KW - Machines KW - Tools KW - Manufacturing, Machines, Tools KW - Artificial Intelligence (incl. Robotics) KW - Robotics and Automation KW - Computational Intelligence KW - Operation Research/Decision Theory N1 - 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 N2 - 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 usingfour case studies relating to high-tech industries andadvanced, non-conventional processes UR - http://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-19255-0 ER -