Modern organizations operate in an environment of uncertainty conditions, unpredictable, sudden changes, so they must have a high level of adaptation to changing conditions. In order to become an adaptive, manufacturing, logistics, innovative subsystems of enterprise must have certain resource stocks, buffers: its mobilization will enable the organization to quickly adapt to new requirements. The management system must be designed so as to be able to seize the initiative in unpredictable situations, to adequately act in unforeseen circumstances, effectively allocate resources and exploit new emerging opportunities.

development of the integrated approach to the location of charging infrastructure in tyumen city, russian federation anastasiya gorBunova & ilya anisimov industrial university of tyumen, russian federation aBstract over the past 10 years, the fleet of electric vehicles has grown dramatically, due to the introduction of incentive programs for their operation, as well as the development of accessible charging infrastructure. however, the design and organization of this network come with a number of obstacles in countries where the number of electric vehicles is limited. a small number of operated electric vehicles leads to a decrease in the utilization rate of the charging infrastructure. a main obstacle to increasing the fleet of electric vehicles is an insufficiently developed charging network. in this instance, such a location of charging stations in the city that will help to reduce idle runs of electric vehicles and increase the utilization rates of charging stations is one of the priority practical tasks in the field of infrastructure organization. in the world, there are approaches to the location of charging stations in cities. they are based on the methods proposed for choosing the location of socially significant objects in the city, and therefore take into account the centres of attraction of the population, the features of the organization of parking space and car services. however, until now, no methodology has been developed aimed at calculating the number of charging stations in the city, taking into account the characteristics of the functioning of the existing infrastructure and their location. the developed approach to the location of charging stations will take into account the peculiarities of the city's power distribution network, the complexity of the access roads to the charging station and the likelihood of a free parking space. this paper partially describes the results of a larger study and aims at developing an approach to the location of charging stations in the city and optimizing the existing network. the approach was developed in two stages. initially, the authors identified the applicability of an existing model, and then at the second stage, they adapted it taking into account the proposed indicators for assessing the location of the charging station in the city of tyumen. in the future, the developed approach will be applied in several cities of the russian federation.

An urgent area of the transport industry is the development of electric vehicles. This trend requires the development of charging infrastructure. Currently, this is developing, but not in all countries. A small fleet of electric vehicles results in a limited number of installed charging stations. The reason for this is their low profitability and lack of support from public authorities, as partially observed in the Russian Federation. In this case, an important task is identifying the optimal location of the limited number of charging stations so that they meet the maximum demand from the electric vehicle owners. A review of previous studies on modeling the optimal location of charging stations in cities showed several basic approaches. These are based on models of the maximum coverage of demand and p-median, as well as models that take into account the road network features, such as car parking. The models, as a rule, do not interact with each other and do not consider the high building density or the complexity of the approach to the charging station among others. Therefore, the purpose of this study is to develop a new model for the location of charging stations in the city that takes into account the characteristics of the road network, the traffic flow at its nodes and places of attraction for the population. It minimizes the total cost of operating the charging infrastructure. The model is developed on the basis of two stages of research. The first stage showed the applicability of the p-median model to the location of charging stations. This model is adjusted using decision variables that characterize the capital cost of building a charging station and the features of car parking.

Modern thermal control systems equipped with computers, are able to solve a variety of tasks in product quality control. On the example of experimental data obtained during the research of thin-layer polymer coatings on metal bases, the methodological capabilities of the non-destructive method and the measuring system of thermal control are shown.

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