Scientific Journal of KubSAU

The article considers an approach to managing the production process in agriculture based on modeling and evaluation of added value chains. The work has proposed a scheme of links for the production chain of added value creation that contains source control and financing cash flow which comes first in the link of agricultural production, then produced products are supplied to the accumulator, and from there it sequentially passes through the links of the value chain of the cyclic processing facilities, from which finished products are marketed and the resulting revenue is directed to the source of funding and management. We have given mathematical descriptions of the movement of financial and material flows in the links of the developed value chain, and mathematical models for calculating the volume of material and financial flows are proposed. Financial flows were also investigated to compensate for the cost of converting material flows and their mathematical descriptions. The article obtains a mathematical model of the economic efficiency of the production process and proposes a mathematical model for calculating the minimum price for socially significant processing products

Production and processing of grains formed in the national economic system of the country a number of cereals-governmental sectors, such as grain production, grain elevator industry, flour, cereals and mixed fodder production, which constitute the grain complex country. The significance and role of the grain as a commodity in the state economy can not be overestimated. This product is totally liquid, which has a constant, steady demand at any time of the year, in any region. Ongoing measures to increase grain production and improve its implementation did not have a complex character, therefore, insignificant effect on the efficiency of the industry and the competitiveness of grain production. The shortage was covered by imports. According to the characteristics of management in agriculture, it should be emphasized that the absence of objective and timely information at all stages of production of the plant-breeding, and as a result, non-optimal choice of technology of cultivation of agricultural crops, might result in the fact that the cost of labor and material resources increases significantly, the company does not receive profits, and sometimes suffers losses. When selecting cultivation technology for agricultural crops, an agronomist has a database of more than a hundred times-personal of alternative technologies for each crop. It is up to the decision-maker (DMP) to find specific criteria to select the most suitable (for the owners and the climatic zone) technology of cultivating for the culture. These circumstances explain the relevance of in-depth research of economic and mathematical models and methods of analysis and evaluation of the economic efficiency of technologies of cultivation agricultural crops. The article deals with the process of developing a complex of mathematical models and methods for evaluating alternative technologies for agricultural production (using the example of crop production), their software implementation, and the main scientific results of the project

The article presents innovative models and methods to diagnose the researcher’s synergic interaction with the scientific community (social mega-environment). It is known that the researcher’s interaction with the social mega-environment has two main directions: scientific collaboration and using the scientific community’s social and cultural potential; the former appears as scientific publications, while the latter appears as scientific citations. It is also known that synergic interaction is the interaction leading to the increase in activity results (according to the “1+1>2” scheme). In the article, the researcher’s synergic interaction is understood as his/her collaboration-based research activity that leads to obtaining the results impossible without this interaction. The theoretical significance of the research results is in the possibility for the further development of the sociology of science, as well as for the further development of the models of the individual’s interaction with the social environment; the practical significance is in the possibility to analyze the factors contributing to the success in the research activity of academic researchers and research teams (i.e. applicable for monitoring the research activity)