Forecasting Delivery Time of Goods in Supply Chains Using Machine Learning Methods | Rezvanov | Advanced Engineering Research (Rostov-on-Don)

Advanced Engineering Research (Rostov-on-Don)

ISSN 2687-1653 (Online)

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Rezvanov V.K., Romakina O.M., Zaytseva E.V. Forecasting Delivery Time of Goods in Supply Chains Using Machine Learning Methods. Advanced Engineering Research (Rostov-on-Don). 2025;25(2):120-128. https://doi.org/10.23947/2687-1653-2025-25-2-120-128. EDN: QBDMMA

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ISSN 2687-1653 (Online)

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About the Authors

V. K. Rezvanov
National Research University ITMO
Russian Federation

Vladislav K. Rezvanov, graduate student of the Applied Computer Science Faculty

49, Kronverksky Ave., St. Petersburg, 197101

O. M. Romakina
National Research University ITMO
Russian Federation

Oksana M. Romakina, Cand.Sci. (Phys.-Math.), Associate Professor of the Applied Computer Science Faculty

49, Kronverksky Ave., St. Petersburg, 197101

E. V. Zaytseva
Empress Catherine II Saint Petersburg Mining University
Russian Federation

Ekaterina V. Zaytseva, Cand.Sci. (Eng.), Associate Professor of the Computer Science and Computer Technology Department

2, 21st Line, St. Petersburg, 199106

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Advanced Engineering Research (Rostov-on-Don)

ISSN 2687-1653 (Online)

Contact with: Publisher / Editorial Office of the Journal

Publisher: Don State Technical University - DSTU, Rostov-on-Don, Russia - https://donstu.ru/en/

Editor-in-Chief: Alexey N. Beskopylny, Dr.Sci. (Eng.), Professor, Vice-Rector, Don State Technical University (Rostov-on-Don, Russia)

Don State Technical University
1, Gagarin Sq., Rostov-on-Don, 344003, Russia
tel.: +7 (863) 2738-372, e-mail: vestnik@donstu.ru

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