Application of game theory simulation in the management of an agro-industrial enterprise

Abstract

In the context of climate change, the agro-industrial complex certainly belongs to the class of complex production and economic systems, and in practice experiments to improve the management of such systems are dangerous because they can lead to unexpected and irreversible changes. According to the proposed scenario, agriculture in Uzbekistan will be extremely dangerous, as agricultural production depends on a number of risks, such as geopolitical situation, water scarcity, soil, weather, climatic conditions, pesticides, seeds, price differences, flow of organisms and diseases. mentions several of these game theory theories. This article discusses one of the decision-making methods in choosing the main type of agricultural product. The main goal is to determine the lowest expected outcome and the highest return in the shortest possible time with minimal investment, and the author used mathematical methods of game theory to analyze decision-making options to achieve the expected goal. especially games with nature, ie. maximum and minimum convolutions, Baes criteria, Vald criteria, Hurwitz criteria, Sevige criteria. The results confirm that, in addition to the effectiveness of the described methodology, the use of a game theory model is effective in developing and selecting the best production decisions in conditions of uncertainty where the production process is highly dependent on random factors. for the decision - making process. In order to increase the efficiency of management decision-making in the agro-industrial complex, the prospects for further development of these approaches are justified.