Design of grid systems to solve complex industrial engineering problems

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