Scientific Journal of KubSAU

In the article, we proposed the fundamental mathematical support of the state investment management of the agricultural production at the regional level, the content of which is determined by the next run of the development: the structure of the investment mechanism of farm management, hierarchy and relationship models and stages of the investment management of agricultural production; models preliminary comparative evaluation of agricultural enterprises - participants of the investment process, models and algorithms investment and resource optimization of the industrial structure of agricultural enterprises; models final selection of participants implementation of public investment programs and the distribution of funds

This article describes the system-cognitive approach to an investment management of agribusiness at the regional level in order to improve the quality of life. The possibility of the practical application of the proposed quantitative integral criterion of the quality of life for the identification year study period, and obtained influence functions volume and direction of investment in the value of the integral criterion and partial criteria of quality of life in the region is presented. The results open the possibility of scientific study recommendations on the structure and terms of investments, the most effective impact on improving the quality of life of the region

This work is devoted to revealing some opportunities of the research of a subject to modeling by a research of its model given by the ASC-analysis and the Eidos system

The quality of life of the population of the region is an important integral criterion of estimation of efficiency of activity of regional administration. The most important strategic sector of the economy of the Krasnodar region is the agro-industrial complex (AIC). This poses the problem of management of the quality of life of the region through the use of as the control factor of the volume and direction of investment in agriculture

In their previous works, the authors solved the problem of cognitive-target structuring and formalization of the subject area, as well as the synthesis and verification of statistical and system-cognitive models. This work is devoted to the application of these models to solve the problem of forecasting the impact of the volume and direction of investment in agriculture on the economic component of the quality of life of the population of the region. This work is devoted to the use of previously created and verified models to solve the problem of decision-making on the volume and direction of investment in agriculture, improving the quality of life of the population of the region

In this article outcomes of economic-mathematical modeling of the processes, which are flowing past in manufacturing chains of the small agricultural business, are resulted. The structure of a developed complex of models of planning and production management in farms is featured. The Indistinct mathematical models substantiation efficiency use of credit funds is developed

In the article, the result of improvement and estimation of organizational structure of Southern diversified corporation (UMK) by means of tool means is presented

The models that quantify the investment efficiency of horizontal and technologically (vertically) integrated systems, as well as agro-industrial group that include both the technological verticals of recycling enterprises and the horizontal integration of agribusinesses companies are presented

The article presents results of the study to assess the effectiveness of credit funds in interacting agricultural (AES) and processing (PP) agricultural enterprises. The conducted studies are a continuation of the scientific work on the development of mathematical models of interaction of the enterprises of the AES and PP, are shown in the articles [1, 2, 3]. This article presents the authors’ developed set of models of management of credit funds of interacting enterprises of an agroindustrial complex. It includes mathematical models of economic efficiency of agricultural enterprises considering the use of loan funds, as well as the assessment of the maximum amount of interest rate of the loan and the minimum selling prices of units of finished agricultural products; a mathematical model of the economic efficiency of the processing plant taking into account credit obligations of the agricultural enterprise and a model for the calculation of the minimum selling prices of its finished products; a mathematical model of the economic efficiency of the combined entity with all its loans. We have proposed a model to calculate the minimum selling prices of its finished products

Small business is an important segment of the economy of the state. However, today, there remains a number of problems in the effective functioning of small business organizations, including the lack of adequate tools for information processing, necessary to justify their development strategy. The article presents a solution to the task of developing functional requirements for an application that automates the process of forming a business model of small business organizations. The set of developed requirements is represented by a set of diagrams "Use Case Diagram", built using the unified modeling language UML. It is shown, that the business model is the main source of data for calculating the efficiency indicators of business ideas, capital investments, incomes and expenses. As a basic approach to the development of the business model, the template proposed by A. Osterwalder was chosen, which was supplemented with the "Competitors analysis" block. Thus, the improved business model template will include the following processes: "Project Value Proposal", "Design Consumer Segments", "Design Sales Channels", "Design Customer Relationship Technologies", "Design Processes", "Design Resources", "Design partners", "Analyze suppliers". Among the blocks of the business model template, the key one ("Distribution channels") is provided, which includes the calculation of revenues and expenditures, performance indicators for each sales channel, and their consolidated representation in the overall business model