Тестовий режим. Платформа працює в режимі випробування: частина можливостей ще незавершена, дані можуть змінюватися, а окремі сторінки — виглядати або рахуватися неточно. Як читати показники · Якщо профіль стосується вас
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СтаттяЗовнішня публікація

ENTERPRISE CROP CAPACITY MANAGEMENT BASED ON THE USE OF FORECASTING MEANS

A. SheremetТетяна Вікторівна БондарORCID

Анотація

The planning function is one of the basic management functions. Improving business planning is an extremely important task in a dynamic, heterogeneous and uncertain environment. Improving the planning function through the use of modern forecasting tools is of particular importance for agricultural enterprises, as many external factors of activity and development are stochastic and complex, related to natural conditions. Forecasting will increase the efficiency of the enterprise in the current period, as well as develop and implement long-term development plans. The purpose of the study is to determine and study the forecast indicators of enterprise crop capacity, study the degree of its dependence on factors of influence − the cost of fertilizers, average temperature, number of sunny days, rainfall and soil pH, and develop measures to improve management to increase enterprise productivity. A system approach, general scientific methods (analysis, synthesis, abstraction, specification), as well as forecasting methods using the tools of Microsoft Excel have been used in the research process. The results of the study are the development of measures to improve the planning of the enterprise on the basis of the cycle of forecast calculations of the selected management parameter − the crop capacity of the enterprise. Promising areas of further research are the development of productivity forecasts using other methods of mathematical statistics, construction of more complex mathematical models (eg, simulation models), justification of their practical application and dissemination of their use among other businesses at other levels of the economic system (regional, etc.). The results of the study can be implemented in the practice of agricultural enterprises, including the development of forecast models for other indicators of the object of management. The results of the study are also of social significance, as ensuring the success of agricultural enterprises solves food problems, environmental problems and more.

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