Author(s): Elena Rostislavovna Schislyaeva, Egor Alexandrovich Kovalenko
Mathematical models of real processes have been created are considered as the fundamental basis of the digital twin concept. Most of the methods for forecasting changes in traffic volumes are based on the assumption that the trends characteristic of the past and future periods being permanent. Currently these models are modified and become more and more technologically complex. Today, advances in networking technology enable to link previously autonomous physical assets with modern digital models. Thus, the changes experienced by the physical object are reflected in the digital model, and the conclusions drawn from the model allow making decisions about the physical object, the control of which becomes unprecedentedly accurate. This research examines examples of mathematical models that underlie the algorithms for analysis, modeling and forecasting in the Digital Twins system. The purpose of the study - is to analyze the methodology of the digital twins of distribution centers on the basis of the mathematical and economic forecasting models.