Abstract

The article reveals the concept of simulation modeling, which remains the generally recognized method of research in various fields of science, production, and business. The more complex are the challenges facing modeling, the greater is the need for computing resources. In the modern world, computers and special software are used to calculate and process large amounts of data. The method of simulation modeling is used for the most frequent study of economic problems, their behavior, impact on the situation and development of factors. This modeling technique is often used to analyze complex multi-level business systems. It is based on statistical tests that help calculate random factors. The simulation method allows you to solve problems when you need to quickly perform calculations. The advantages of the modeling method are: the use of special software that increases data processing speed and minimizes the number of errors; repeated or indirect experiments without negative impact on the system; modeling the system for a long period of time or analysis of its activity over a certain period of time; application of software that allows you to bring the model as close as possible to real data; ability to change variables; the use of the model as a training material for the experiment. A feature of simulation can be called mathematical tools that are as close as possible to reality in order to identify the processes existing in the system and to bring the indicators to real values.

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