Abstract and keywords
Abstract (English):
The analysis of the use of digital services to increase the efficiency of the procurement process at enterprises is carried out. The interest of domestic and foreign researchers in the field of digitalization of both machine operation and modeling of production processes has been established. The scheme of the information system algorithm functioning is proposed, which makes it possible to take into account both production data obtained during the production process and technical data on the condition of the machine's components and assemblies, allowing monitoring their condition, as well as predicting changes in their condition.

Keywords:
digitalization, information technology, logging, logging machines
References

1. Kim Gyun-Hyung, Kim Ki-Duck, Lee Hyeon-Seung, Choi Yunsung, Mun Ho-Seong, Oh Jae-Heun, Shin Beom-Soo. Development of Wi-Fi-Based Teleoperation System for Forest Harvester. Journal of Biosystems Engineering. 2021. 46.https://doi.org/10.1007/s42853-021-00100-2.

2. Sivakov V., Buglaev A., Zaikin A., Orekhovskaya A., Nurullin A., Razetdinov I. Improving the training of employees of logging enterprises in the field of labor protection // IX International Conference on Advanced Agritechnologies, Environmental Engineering and Sustainable Development, Namangan, Uzbekistan, 26 oktyabrya – 03 noyabrya 2023 goda. Vol. 486. EDP Sciences - Web of Conferences: EDP Sciences - Web of Conferences, 2024. P. 04007. DOIhttps://doi.org/10.1051/e3sconf/202448604007.

3. Svoikin F., Zhuk K., Svoikin V., Ugryumov S., Bacherikov I., Daniela V., Ryapukhin A. Classification of Tree Species in the Process of Timber-Harvesting Operations Using Machine-Learning Methods. Inventions. 2023. Vol. 8, No. 2. P. 57. DOIhttps://doi.org/10.3390/inventions8020057.

4. Labelle E., Kemmerer J. Business Process Reengineering of a Large-Scale Public Forest Enterprise Through Harvester Data Integration. Croatian journal of forest engineering. 2022. 43.https://doi.org/10.5552/crojfe.2022.1129.

5. Silva A., Cardoso M., Gomes R., Schettini B. Minette L., Nunes Í., Villanova P. Forest extraction management with the indicator of overall efficiency of forest machines (OEFM). Revista Árvore. 2022. 46.https://doi.org/10.1590/1806-908820220000018.

6. Rukomojnikov K., Sergeeva T. Simulation modeling of logging harvester movements during selective logging. Journal of Applied Engineering Science. 2024. 22. 1-8.https://doi.org/10.5937/jaes0-50146.

7. Zaikin A.N., Sivakov V.V., Novikova T.P., Zelikov V.A., Stasyuk V.V., Chuykov A.S. Programmnoe obespechenie dlya upravleniya sistemoy tehnicheskogo obsluzhivaniya i remonta lesnyh mashin: ocenka primenimosti // Lesotehnicheskiy zhurnal. 2023. T. 13, № 2(50). S. 105-127. DOIhttps://doi.org/10.34220/issn.2222-7962/2023.2/6.

8. Sivakov V.V. Cifrovizaciya upravleniya sistemoy tehnicheskogo obsluzhivaniya i remonta lesozagotovitel'noy tehniki // Hvoynye boreal'noy zony. 2024. T. 42, № 1. S. 64-71. DOIhttps://doi.org/10.53374/1993-0135-2024-1-64-71.

9. Hernandez-Matias J., Ríos J., Clavijo M., Villaverde S.J., Idoipe A. Methodology and architecture for the implementation of TPM 4.0 in small and medium-sized companies. Dyna (Bilbao). 2023. 98. 351-355.https://doi.org/10.6036/10878.

10. Kärhä K., Poikela A., Palander T. Productivity and Costs of Harwarder Systems in Industrial Roundwood Thinning. Croatian Journal of Forest Engineering. 2018. 39. 23-33.

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