Intellectual decision-making technology in agricultural production

Abstract

Objective assessment of agro-resource potential of regions, understanding of the principles of forming the optimal structure of production in relation to soil and climatic conditions and energy potential, analysis of factors influencing the use of certain means of production, allows producers to make close to optimal current and strategic decisions. To do this, all industrial resources must be considered not separately, but in a complex structure of the agricultural production system in order to ensure the most rational use of them in optimal quantities and interaction. To strengthen the food security and energy independence of the state, it is necessary to form a powerful agricultural sphere of Ukraine. This is achieved through the rational use of agricultural resources, including solar energy through the binding of virtually unlimited resources of nitrogen, carbon, oxygen and hydrogen of the Earth's atmosphere in fats, proteins and hydrocarbons, provided mandatory recycling or reuse of minerals, balanced combination of biological and industrial resources and systematic increase of soil fertility. Therefore, it is necessary to make the transition from the traditional style of enterprise management, based on the production experience and intuition of managers and staff, to modern methods of decision-making that allow for operational and long-term planning with high accuracy and predictability. It is known that the main tool of systems analysis is modeling. The fundamental value of the model lies in its ability to change the real process. For most farms, the farm-wide experimentation procedure is either unacceptable or impractical. Such an experiment has too dangerous consequences for them. Therefore, when analyzing the problem, there is a need for a simulator of the researched enterprise, which could be used for testing instead of the real system. Such a simulator is a model that should reflect the most important patterns of transformation of natural, material, financial, informational, energy and labor resources into agricultural products. The result is a system of interconnected standard modules for determining indicators: production volumes, product prices, the amount of costs, the amount of credit required, the assessment of possible profits and the accumulation of own funds. Each of the considered production or economic indicators can be determined separately. The algorithm of the perspective information system presented in the work allows to comprehensively analyze the action and interaction of individual components of agricultural production and to make close to optimal strategic and current decisions at different levels of agro-industrial complex management.