Application of mathematical statistics in the food industry

Kandalova Marina Andreevna, Bey Veronika Vladimirovna

The food industry is one of the most important in the economic structure of the Russian Federation and the significance of its research is due to the country's dependence on food supplies. At the same time, the food industry is characterized by a rather complex technological cycle and has many economic entities involved in the sale of products of this industry. In these conditions, the construction of an optimal management system of a food enterprise cannot be carried out without the presence of formed practical models of analysis that help to identify the patterns of their functioning. At the same time, it is the food industry that seems to be the reference for the use of statistical data in it, which allows us to take into account the laws and established trends in the development of forecasts for the development of this and other industries. Mathematical analysis of statistical data of the food industry is based on various models and methods, among which the advantage is given to economic-mathematical or simulation modeling. Using traditional mathematical models, when conducting static observations, trends and forecasts of the development of the industry are built, the study of which is aimed at this article.

Keywords:food industry, trends, dynamics, growth, mathematical model, trend