Abstract

To build a model of technological processes, linear and nonlinear regression equations are used to solve the problems of developing new food products. At the initial stage, the analysis was conducted of the study of the most real technical and technological economic system. As an object of study, depending on the purpose of the study, a particular enterprise, or group of enterprises, as well as an entire branch of the economy of a region or country, or perhaps the gross regional product of a certain subject of the Russian Federation or the country’s GDP, can be chosen. Gooseberry processing complex is considered as an example. The correctness of the choice of model type can be proved very conditionally, as well as from the point of view of the researcher conducting the analysis, his system of preferences regarding models and modeling methods. As an example, consider some conditional company VRM, for which we simulate the initial data on sales for the last 4 years.

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