The article substantiates the need to adjust corporate development strategies, business models and production methods, caused by the influence of the fourth industrial revolution (Industry 4.0). Cluster and network structures are capable of ensuring timely digital business transformation. For effective integration into network interaction, it is necessary to form corporate strategies for innovative development based on an effective combination of strategic and operational planning using network methods. The article provides a comparative analysis of the critical path method, the method of evaluation and analysis of programs and projects, the method of graphical assessment and analysis, and the cyclical alternative network model. As a result of the study of network planning methods, it was revealed that the GERT-network modelling allows taking into account the risk factors and uncertainties, and the cyclical alternative network model allows to manage the level of risk and uncertainty. The two-level model of planning and management of industrial production proposed in the article, as well as the developed algorithm for solving the problem of interdepartmental production planning, can be used as the basis for the formation of a strategy for the innovative development of industrial enterprises.

The article shows that a simple method for calculating the values of the coefficients at which the production functions of Cobb-Douglas and Robert Solow best approximate statistical data, as well as determining the accuracy of the model and coefficients, is linear regression using the least squares method. By means of a regression analysis, the parameters of the effect of the introduction of innovative processes and the coefficients of the level of technology, labor elasticity and capital of production functions are determined. The initial statistics for the calculations were taken on the website of the Federal State Statistics Service in the relevant sections. Using the constructed functions, the influence of such factors as labor, capital, innovative processes on the long-term change in the volume of production in Russia was estimated, and the nature of the return on these production factors was determined. It is shown that the considered production functions in relation to real data demonstrate an increasing return on labor and capital. To determine the reliability of the approximation, a linear correlation coefficient (Pearson correlation coefficient) was calculated. As a result of calculations with the formula, the value of the Pearson coefficient r xy = 0.9844 was obtained. From the obtained value, it was concluded that there is a strong correlation between the variables, the variables correlate positively and the reliability of the approximation is high.

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The article is devoted to the creation of a system of cartographic models of natural resources for a specific territory. The reasons for the inefficient use of natural resource information in modern Russia are described. The place of natural resource mapping in the formation of a natural resource information space is characterized. The task of systematic consideration of natural resources when creating cartographic support for solving the problems of natural resource management and environmental management planning has been set. It is proposed to develop a program for processing images in the GeoTIFF format, intended for the analysis of natural resources. The structure of the program for the planning and management of environmental management is presented. The main functional types of CMRD are outlined: inventory, estimated, forecasted, recommended. The features of their use at various stages of environmental management are identified.

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