Design of grid systems to solve complex industrial engineering problems
Tynchenko, Valeriya Valerievna
Solovyov, Evgeniy Alekseevich
Tynchenko, Sergei Vasilyevich
Институт управления бизнес-процессами и экономики
Институт нефти и газа
Институт космических и информационных технологий
Кафедра экономики и информационных технологий менеджмента
Кафедра технологических машин и оборудования нефтегазового комплекса
Journal Name:2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)
Journal Quartile in Scopus:без квартиля
Journal Quartile in Web of Science:без квартиля
Bibliographic Citation:Tynchenko, Valeriya Valerievna. Design of grid systems to solve complex industrial engineering problems [Текст] / Valeriya Valerievna Tynchenko, Evgeniy Alekseevich Solovyov, Sergei Vasilyevich Tynchenko // 2016 2nd International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM). — 2017.
The problem of solving complex and demanding tasks of production engineering is discussed. The complexity of the methods used in the solution of such tasks requires significant computational resources. It is proposed to use the widespread personal computers, combined into a single computer network on the basis of Grid technology. However, the informal aspect is the choice of an effective structure of such a system. It is proposed the complex of mathematical models for assessing performance and reliability of Grid systems and the corresponding problem of selecting its effective structure. On the basis of the proposed models the decision support system for the Grid systems formation is developed. To solve optimization problems arising in the process of decision making is proposed the using of the multiobjective genetic algorithm. In the study of the proposed system efficiency was solved the practical problem of designing effective grid system configuration, focused on the complex task of network planning by means of artificial neural networks.