Abstract:With the operational management of production processes without the presence of the necessary quantitative indicators characterizing their functioning, it is almost impossible to compare the actual indicators with the predicted ones, which means that it is impossible to identify the reasons for the deviation and search for control actions aimed at eliminating them. The article discusses the issue of using regression models obtained as a result of processing experimental data.
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