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Genetic Fuzzy Controllers for Complex Production Systems



Год выпуска: 2013
Автор: S. Mahdi Homayouni and S. H. Tang
Издательство: LAP Lambert Academic Publishing
Страниц: 160
ISBN: 9783659279119
Описание
Improvement in the performance of production control systems is so important that many of past studies were dedicated to this problem. The applicability of fuzzy controllers in production control systems has been shown in literature. Furthermore, genetic algorithm has been used to optimize the FLCs performance. In this study, the GFLC methodology is used to develop two production control architectures named “genetic distributed fuzzy”, and “genetic supervisory fuzzy” controllers. These control architectures have been applied to single-part-type production systems. In their new application, the GDF and GSF controllers are developed to control multi-part-type and re-entrant production systems. In multi-part-type and re-entrant production systems the priority of production as well as the production rate for each part type is determined by production control systems. The objective function of the GSF controller is to minimize the overall production costs based on work-in-process (WIP) an...


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Кристина
Спасибо!!! читаю работу после вашего сопровождения, все отлично)