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Advanced Multiresponse Process Optimisation

Tatjana V. Šibalija
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      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.
      Format: Hardback CONTRIBUTORS: Tatjana V. Šibalija EAN: 9783319192543 COUNTRY: Switzerland PAGES: WEIGHT: 5974 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2015-08-25 CITY: GENRE: BUSINESS & ECONOMICS / Operations Research, COMPUTERS / Artificial Intelligence / General, TECHNOLOGY & ENGINEERING / Engineering (General), TECHNOLOGY & ENGINEERING / Manufacturing, TECHNOLOGY & ENGINEERING / Robotics WIDTH: 155 cm SPINE:

      Book Themes:

      Management decision making, Operational research, Production and industrial engineering, Automatic control engineering, Artificial intelligence

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      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.
      Format: Hardback CONTRIBUTORS: Tatjana V. Šibalija EAN: 9783319192543 COUNTRY: Switzerland PAGES: WEIGHT: 5974 g HEIGHT: 235 cm
      PUBLISHED BY: Springer International Publishing AG DATE PUBLISHED: 2015-08-25 CITY: GENRE: BUSINESS & ECONOMICS / Operations Research, COMPUTERS / Artificial Intelligence / General, TECHNOLOGY & ENGINEERING / Engineering (General), TECHNOLOGY & ENGINEERING / Manufacturing, TECHNOLOGY & ENGINEERING / Robotics WIDTH: 155 cm SPINE:

      Book Themes:

      Management decision making, Operational research, Production and industrial engineering, Automatic control engineering, Artificial intelligence

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