The article substantiates the necessity of introducing a new national framework document that would outline strategic directions for long-term development of Ukraine and facilitate the integration of sustainable development into the national plans, strategies and programs. It provides recommendations concerning the projection of business environment taking into account environmental and economic constraints and green technologies in Ukraine, as well as the use of economic and mathematical modeling. It offers the introduction of ecological and economic projects to enhance control and responsibility for the implementation of the planned measures on all levels, constant examination of the current legislation regarding its compliance with the principles of sustainable development; active use of public examination and independent audit; ensuring continuous dialogue between representatives of business and society.

Active digitization of people's daily life leads to the use of the decision-making support systems (DMSS). DMSS is actively used in data processing, forecasting the course of various processes, providing informational support for the decision-making process by decision makers. However, a number of problems arise while evaluating monitoring objects, namely: a large number of destabilizing factors affecting the efficiency of the processes of information collection, processing and transmission; high dynamism of changes in the state and composition of heterogeneous monitoring objects during the conduct of hostilities (operations); high dynamism of conducting hostilities (operations); the uncertainty of the initial situation and the noise of the initial data. In this article, a method of finding solutions based on an improved bee colony algorithm was developed. The efficiency of information processing is achieved by learning the architecture of artificial neural networks; taking into account the type of uncertainty of the information to be evaluated; the use of an improved algorithm of the bee colony, the use of an unordered linguistic scale of measurements with adjustment coefficients for the degree of awareness and the degree of noise of the initial data. An approbation of the use of the proposed method was carried out on the example of assessing the state of the operational grouping of troops (forces). The method is proposed to be used in the development of software for automated systems of control of troops and weapons, namely, in the modernization of existing and development of new automated systems of control of troops and weapons. The evaluation of the effectiveness of the proposed method showed an increase in the efficiency of the evaluation at the level of 21–28 % in terms of the efficiency of information processing

The article analyzes the current state of information exchange in the control system of a mechanized brigade during its combat operations in the anti-terrorist operation, the operation of the combined forces of the Armed Forces of Ukraine in the east of the country. It is determined that the mechanized crew communication system has a low level of survivability. The cause is a large amount of communication damage due to enemy fire damage and limited technical reliability. Maintaining a given level of survivability of the communication system is possible primarily through the timely restoration of damaged communications.Existing models that can be used to determine the estimated number of recovered communications tools are analyzed. Strengths and weaknesses are identified and directions of improvement are formulated.A simulation model developed on a personal computer in the AnyLogic 7.0.2 Professional software environment, the process of repairing communications in the repair unit of a mechanized team, which, unlike existing ones, takes into account the intensity of communication failure due to enemy fire damage combat periods, as well as communication tools that fail due to limited technical reliability.The type of queuing system used to describe the recovery process of communications in the mechanized repair unit is justified. The algorithm of work of simulation model of process of communication means restoration in repair unit of mechanized crew is given.Let's calculate the number of recovered communications using a simulation model of the communication recovery process in a mechanized brigade repair unit using a hypothetical example. The dependence of the likelihood of communication services on the number of communication repair masters has been determined.