This article is devoted to the problems of investigation of routing processes in the large distribution systems. The numerical decision systems of the nonlinear equations for a preset network, traffic and conditions of functioning allows to implement determination of a probability-time characteristics of a network, carry out a rating of used algorithms of routing, methods of streams control. The identification of parameters of model of the routing process close to best values is possible during a repetitive process of search of the solution of a system of nonlinear equations. The designed analytic model of processes of multiparameter routing in networks based the theory of finite Markov chains, queuing theory etc., allows to define probability-time characteristics of a networks. Structure and the methods of model construction provide its practical applicability for auto configuration of routing algorithms and traffic control for specific topological structures, channels characteristics and traffic between routers of a network.

The relevance of the study is due to the fact that changes in the energy management policy at the national level, rising energy prices and increased state environmental control over production prompt industry to develop effective organizational and technical solutions in the field of energy management. The aim of the study is to identify energy management factors that determine the success or failure of the implementation of energy efficiency measures in industrial companies. In the empirical part of the study, the case-stage method was used to analyze the energy management practice of large metallurgical enterprises, where the problems of energy conservation are especially acute due to the high energy intensity of production. A promising direction in such an environment is the integration of structural components used to support decisions and social components represented by staff commitment and accumulated energy-efficient human capital. The main results can be applied in the practice of energy system management in the development of strategic planning processes, the adoption of sound investment decisions and the formation of energy-efficient human capital.