Research output: Contribution to conference › Paper › peer-review
The Demand Dynamics Forecasting for Perishable Products. / Firyago, Ulyana; Kocherov, Ivan; Pankratova, Yaroslavna; Trofimova, Inna.
2023. 277-287 Paper presented at 6th Computational Methods in Systems and Software 2022, Прага, Czech Republic.Research output: Contribution to conference › Paper › peer-review
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TY - CONF
T1 - The Demand Dynamics Forecasting for Perishable Products
AU - Firyago, Ulyana
AU - Kocherov, Ivan
AU - Pankratova, Yaroslavna
AU - Trofimova, Inna
N1 - Conference code: 6
PY - 2023
Y1 - 2023
N2 - In this paper, models for forecasting the dynamics of demand for products with a short expiration date are constructed. Here we propose to construct models for time series forecasting using the decomposition method and taking into account the assumptions of experts about the influence of certain factors on the behavior of product consumers. These models were implemented and tested on real data, and the obtained forecast were evaluated. The decomposition method and Holt-Winters method were used, and comparative analysis of these models was carried out, and a forecast are made.
AB - In this paper, models for forecasting the dynamics of demand for products with a short expiration date are constructed. Here we propose to construct models for time series forecasting using the decomposition method and taking into account the assumptions of experts about the influence of certain factors on the behavior of product consumers. These models were implemented and tested on real data, and the obtained forecast were evaluated. The decomposition method and Holt-Winters method were used, and comparative analysis of these models was carried out, and a forecast are made.
UR - https://link.springer.com/chapter/10.1007/978-3-031-21435-6_24
U2 - 10.1007/978-3-031-21435-6_24
DO - 10.1007/978-3-031-21435-6_24
M3 - Paper
SP - 277
EP - 287
T2 - 6th Computational Methods in Systems and Software 2022
Y2 - 13 October 2022 through 15 October 2022
ER -
ID: 101664344