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MODELING PROCESS OF PLANNING FINISHED PRODUCT SALES VOLUMES AT INDUSTRIAL ENTERPRISES IN MODERN ECONOMIC CONDITIONS

Abstract

This article presents improving the existing system of planning finished products sales volumes. The influencing factors of the sales volumes in modern economic conditions have been determined: falling world oil prices, the reduction of pipe consumption in the domestic market, the global pandemic. The algorithm of planning finished products sales volumes has been constructed. Calculations based on the Holt forecasting method has been done, which allows to make forecast with trend. Calculations based on real data have been conducted, the model has been adapted to modern pandemic conditions, and impact factors have been identified. The plan of finished products sales volumes with factors of influence has been made. Forecast results obtained have been corrected and presented on periods and on markets. System of planning finished product sales volumes at industrial enterprises in modern economic conditions has been improved.

Keywords:

plan, inished products, realization, forecast, Holt method, modeling

Details

Issue
Vol. 2 No. 31 (2020)
Section
Research article
Published
2020-12-29
DOI:
https://doi.org/10.19253/reme.2020.02.004
Licencja:
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

This is an Open Access journal, all articles are distributed under the terms of the Creative Commons (CC BY 4.0) License (http://creativecommons.org/licenses/by-nc-sa/4.0/). You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits. 

Authors

  • Kateryna Udachyna

    National metallurgical academy of Ukraine, Faculty of Computer systems, energy and automation
  • Larysa Savchuk

    National metallurgical academy of Ukraine, Faculty of Computer systems, energy and automation
  • Nina Rizun

    Gdańsk University of Technology, Faculty of Management and Economics

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