OPERATING COSTS IN PROCESS OF MAINTENANCE BY STORING GRAIN HARVESTING COMBINERS
Abstract
In the article, the author presents the results of substantiation of the main indicator of the reliability of combine harvesters – failure-free operation, which affects the indicators of their effective machine use, based on the conditions of the technological process in agrotechnical terms, taking into account the minimization of all costs associated with the operation of combine harvesters. Methodical prerequisites for the development of an economic-mathematical model are presented, the criteria for evaluating the efficiency of grain harvesters are substantiated, the model is developed and the influence of the choice of individual grain harvesters on the efficiency of the harvester park of the agricultural enterprise as a whole is given. To evaluate the efficiency of grain harvesters according to the economic-mathematical model, we accept the minimum specific total costs as a criterion that most objectively reflects all components of costs associated with the operation of grain harvesters. The task is solved in two stages: an evaluation of the efficiency of individual grain harvesters by brands is carried out, taking into account the main indicators of their reliability and other indicators; the efficiency of the farm’s harvester park is evaluated when it is equipped with harvesters of various models. The work shows that the implementation of technological processes of grain harvesting in agrotechnical terms largely depends on machine downtimes due to failures due to technical reasons, which determine the level of reliability of grain harvesters. On the other hand, knowing the level of machine reliability, it is possible to establish the optimal operation of service services and prevent violations of the execution of technological works in agrotechnical terms.The article presents the results of the substantiation of the economic-mathematical model, which takes into account and allows evaluating the efficiency of grain harvesters according to a well-founded criterion – the total specific costs per one hectare of harvesting area, or one ton of threshed grain, taking into account the working time for rejection and drawing conclusions based on this on the effectiveness of grain harvesters.
References
2. Carter, J., Petersenn, R. & Cochran, B. (2015). Designing exhaust systems to minimize energy costs. Ashrae Journal, 47(7): 18–22.
3. Drga, R., Janacova, D. & Charvatova, H. (2016). Simulation of the PIR detector active function. Proceedings of 20th International conference on Circuits, Systems, Communications and Computers (CSCC 2016), July 14-17, E D P Sciences, 17 Ave Du Hoggar Parc D Activites Coutaboeuf Bp 112, F-91944 Cedex A, France, 76: UNSP 04036.
4. Dubbini, M., Pezzuolo, A., De Giglio, M., Gattelli, M., Curzio, L., Covi, D., Yezekyan, T. & Marinello, F. (2017). Last generation instrument for agriculture multispectral data collection. CIGR Journal, 19: 158–163.
5. Forgó, Z., Tolvaly-Ros, ca F., Pásztor, J. & Kovari, A. (2021). Energy consumption evaluation of active tillage machines using dynamic modelling. Application Science, 11: 6240. https://doi.org/10.3390/app11146240.
6. Hrynkiv, A., Rogovskii, I., Aulin, V., Lysenko, S., Titova, L., Zagurskіy, O. & Kolosok, I. (2020). Development of a system for determining the informativeness of the diagnosing parameters of the cylinder-piston group of the diesel engines in operation. Eastern-European Journal of Enterprise Technologies, 3(105): 19–29. https://doi.org/10.15587/1729-4061.2020.206073.
7. Kuzmich, I. M., Rogovskii, I. L., Titova, L. L. & Nadtochiy, O. V. (2021). Research of passage capacity of combine harvesters depending on agrobiological state of bread mass. IOP Conference Series: Earth and Environmental Science, 677: 052002. https://doi.org/ 10.1088/ 1755-1315/677/5/052002.
8. Liu, Z., Cao, S. & Sun, Z. (2021). Tillage effects on soil properties and crop yield after land reclamation. Scientifc Reports, 11: 4611. https://doi.org/10.1038/s41598-021-84191-z.
9. Luo, A. C. J. & Guo, Y. (2013). Vibro-impact Dynamics. Berlin: Springer-Verlag: 213.
10. Masek, J., Novak, P. & Jasinskas, A. (2017). Evaluation of combine harvester operation costs in different working conditions. Engineering for Rural Development, 16: 1180–1185. https://doi.org/10.15587/1729-4061.2017.118135.
11. Nazarenko, I., Dedov, O., Bernyk, I., Rogovskii, I., Bondarenko, A., Zapryvoda, A. & Titova, L. (2020). Study of stability of modes and parameters of motion of vibrating machines for technological purpose. Eastern-European Journal of Enterprise Technologies, 6(7–108): 71–79. https://doi.org/10.15587/1729-4061.2020.217747.
12. Nazarenko, I., Mishchuk, Y., Mishchuk, D., Ruchynskyi, M., Rogovskii, I., Mikhailova, L., Titova, L., Berezovyi, M. & Shatrov, R. (2021). Determiantion of energy characteristics of material destruction in the crushing chamber of the vibration crusher. Eastern-European Journal of Enterprise Technologies, 4(7(112)): 41–49. https://doi.org/10.15587/1729-4061.2021.239292.
13. Novotny, J. (2016). Technical and natural sciences teaching at engineering faculty of FPTM UJEP. Engineering for Rural Development, 15: 16–20. https://doi.org/10.15587/1729-4061.2016.239292.
14. Palamarchuk, I., Rogogvskii, I., Titova, L. & Omelyanov, O. (2021). Experimental evaluation of energy parameters of volumetric vibroseparation of bulk feed from grain. Engineering for Rural Development, 20: 1761–1767. https://doi.org/10.22616/ERDev.2021. 20.TF386.
15. Pinzi, S., Cubero-Atienza, A. J. & Dorado, M. P. (2016). Vibro-acoustic analysis procedures for the evaluation of the sound insulation characteristics of agricultural machinery. Journal of Sound and Vibration, 266(3): 407–441.
16. Rogovskii, I. L. & Titova, L. L. (2021a). Change of technical condition and productivity of grain harvesters depending on term of operation. IOP Conference Series: Earth and Environmental Science, 720: 012110. https://doi.org/10.1088/1755-1315/720/1/012110.
17. Rogovskii, I. L. & Titova, L. L. (2021b). Modeling of normativity of criteria of technical level of forage harvesters combines. IOP Conference Series: Earth and Environmental Science, 720: 012109. https://doi.org/ 10.1088/1755-1315/720/1/012109.
18. Rogovskii, I. L. & Titova, L. L. (2021c). Modeling the weight of criteria for determining the technical level of agricultural machines. IOP Conference Series: Earth and Environmental Science, 677: 022100. https://doi.org/10.1088/1755-1315/677/2/022100.
19. Rogovskii, I. L. (2019). Systemic approach to justification of standards of restoration of agricultural machinery. Machinery & Energetics. Journal of Rural Production Research. Kyiv. Ukraine, 10(3): 181–187. https://doi.org/10.31548/machenergy2019.03.181.
20. Rogovskii, I. L., Titova, L. L. & Berezova, L. V. (2021d). Conceptual bases of system technology of designing of logistic schemes of harvesting and transportation of grain crops. IOP Conference Series: Earth and Environmental Science, 723: 032032. https://doi.org/10.1088/1755-1315/723/3/032032.
21. Rogovskii, I. L., Titova, L. L., Gumenyuk, Yu. O. & Nadtochiy, O. V. (2021e). Technological effectiveness of formation of planting furrow by working body of passive type of orchard planting machine. IOP Conference Series: Earth and Environmental Science, 839: 052055. https://doi.org/10.1088/1755-1315/839/5/052055.
22. Rogovskii, I., Titova, L., Sivak, I., Berezova, L. & Vyhovskyi, A. (2022). Technological effectiveness of tillage unit with working bodies of parquet type in technologies of cultivation of grain crops. Engineering for Rural Development, 21: 884–890. https://doi.org/10.22616/ERDev.2022.21.TF279.
23. Rogovskii, I. L. (2020). Model of stochastic process of restoration of working capacity of agricultural machine in inertial systems with delay. Machinery & Energetics. Journal of Rural Production Research. Kyiv. Ukraine, 11(3): 143–150.
24. Rogovskii, I., Titova, L., Novitskii, A. & Rebenko, V. (2019). Research of vibroacoustic diagnostics of fuel system of engines of combine harvesters. Engineering for Rural Development, 18: 291–298. https://doi.org/10.22616/ERDev2019.18.N451.
25. Romaniuk, W., Polishchuk, V., Marczuk, A., Titova, L., Rogovskii, I. & Borek, K. (2018). Impact of sediment formed in biogas production on productivity of crops and ecologic character of production of onion for chives. Agricultural Engineering, 22(1): 105–125. https://doi.org/10.1515/agriceng-2018-0010.
26. Sergejeva, N., Aboltins, A., Strupule, L. & Aboltina, B. (2018). Mathematical knowledge in elementary school and for future engineers. Engineering for Rural Development, 17: 1166–1172. https://doi.org/10.22616/ERDev2018.17.N451.
27. Viba, J. & Lavendelis, E. (2006). Algorithm of synthesis of strongly non-linear mechanical systems. In Industrial Engineering – Innovation as Competitive Edge for SME, 22 April 2006. Tallinn, Estonia: 95–98.
28. Yata, V. K., Tiwari, B. C. & Ahmad, I. (2018). Nanoscience in food and agriculture: research, industries and patents. Environmental Chemistry Letters, 16: 79–84.
29. Zagurskiy, О., Ohiienko, M., Rogach, S., Pokusa, T., Titova, L. & Rogovskii, I. (2018). Global supply chain in context of new model of economic growth. Conceptual bases and trends for development of social-economic processes. Monograph. Opole. Poland: 64–74.
ISSN 
ISSN 
