Determination of the Machine and Tractor Fleet Optimal Composition for a Model Cotton­Textile Cluster

The authors showed that the cotton-textile cluster efficiency (the capacity of the machine-tractor fleet, cotton yield, the production profitability) largely depended on the use of the optimal number of tractors and agricultural machines. The existing methods (theoretical, graphic, economic and mathematical) were difficult for practical use and did not take into account the specifics of mechanized cotton growing processes. Therefore, it was important to develop a simple normative method for determining the optimal composition of the machine and tractor fleet for clusters, corresponding to the technological map for the production of raw cotton. (Research purpose) To calculate the required amount of agricultural machinery based on the established standards. (Materials and methods) The authors developed an algorithm for determining the standard coefficients of the equipment necessity per 1000 hectares of arable land. These coefficients for each type of equipment were established in the context of technological operations of growing cotton: plowing, soil preparing for sowing, sowing seeds, cultivating the soil between cotton rows, mechanized removal of growth points of the main stems and side branches of plants, defoliation with chemicals, machine harvesting and transportation of harvested cotton – raw. (Results and discussion) The authors proposed the term “model cotton-textile cluster”. They calculated the required amount of equipment for such a cluster with an area of 13,732 hectares. They determined the percentage of the machine and tractor fleet: the share of tractors – 28 percent, cultivators – 22, trailers – 19.8, cotton pickers – 13.8, the rest – 16.4 percent. They emphasized that the machines fleet could expand with the arrival of new modern machines produced by machine-building plants of the republic and imported from foreign countries. (Conclusions) The authors accepted the machine and tractor fleet of the cotton-textile cluster with the number of equipment 1660 units as rational. They proved that it ensured the implementation of all technological operations within agrotechnical terms.

   

1. Toshboltaev M., Djiyanov M., Mamatkulova M., Tadjibekova I., Temirkulova N. Normative method for the substantiation of the composition and quantity of machines required for 1000 hectares of cotton field in the condition of Uzbekistan. International Journal of Agriculture, Environment and Bioresearch. 2021. Vol. 6. N1. 68-76.

2. Toshboltaev M. Nauchno-metodologicheskie osnovy povysheniya stepeni ispol’zovaniya mashinno-traktornykh agregatov v sel’skom khozyaistve Uzbekistana [Scientific and methodological foundations of increasing the degree of use of machine-tractor units in agriculture of Uzbekistan. Tashkent: Science and Technology]. Tashkent: Nauka i tekhnologiya. 2017. 319-333 (In Russian).

3. Shilo I.N., Romanyuk N.N., Orda A.N. et al. Vliyanie raspredeleniya nagruzki po osyam mashinno-traktornykh agregatov na glubinu sleda [Influence of load distribution along the axes of machine-tractor units on the depth of the track]. Sel’skokhozyaystvennye mashiny i tekhnologii. 2018. Vol. 12. N2. 38-43 (In Russian).

4. Arzhenovskiy A.G., Kozlov D.S., Petrishchev N.A. Metod polucheniya tyagovoy kharakteristiki traktora v ekspluatatsionnykh usloviyakh [Method of obtaining traction characteristics of a tractor in operating conditions]. Sel’skokhozyaystvennye mashiny i tekhnologii. 2018. Vol. 12. N5. 25-30 (In Russian).

5. Arzhenovskiy A.G. Sovershenstvovanie metodov i sredstv opredeleniya tyagovo-dinamicheskikh i toplivno-ekonomicheskikh pokazateley traktora v ekspluatatsionnykh usloviyakh [Improvement of methods and means for determining the traction-dynamic and fuel-economic indicators of a tractor in operating conditions]. Traktory i sel’khozmashiny. 2017. N11. 29-35 (In Russian).

6. Senin P.V., Galin D.A. Metody i sredstva ispytaniy i diagnostiki tekhnologicheskogo oborudovaniya i mashin v APK FGBOU VO «Penzenskiy gosudarstvennyy universitet arkhitektury i stroitel’stva» [Methods and tools for testing and diagnostics of technological equipment and machines in the agro-industrial complex of the Penza State University of Architecture and Construction]. OAO «Saranskiy priborostroitel’nyy zavod». Saransk: 2017. 52 (In Russian).

7. Lipkovich E.I. Nekotorye strategicheskie perspektivy APK Rossii [Some strategic prospects of the agro-industrial complex of Russia]. Vestnik agrarnoi nauki Dona. 2017. N1(37.1). 5-17 (In Russian).

8. Zavrazhnov A.I., Vedishchev S.M., Glazkov Yu.E., Milovanov A.V., Prokhorov A.V., Khol’shev N.V. Ekspluatatsiya mashinno-traktornogo parka [Operation of the machine and tractor fleet]. Tambov: TGTU. 2019. 1-223 (In Russian).

9. Timoshchenko K.S., Pertsev S.N. Obzor i analiz metodov rascheta ratsional’nogo sostava mashinno-traktornogo parka khozyaistva [Review and analysis of methods for calculating the rational composition of the machine and tractor fleet of the economy]. Vestnik studencheskogo nauchnogo obshchestva. 2019. N2. 26-28 (In Russian).

10. Korotkikh E.V., Mitropolova L.V. Sovremennoe sostoyanie mashinno-traktornogo parka v sel’skom khozyaistve Primorskogo kraya [The current state of the machine and tractor fleet in agriculture of the Primorsky Territory]. Interaktivnaya nauka. 2017. N11(21). 66-68 (In Russian).

11. Kovalev I.L., Kostomakhin M.N. O predposylkakh sozda­niya edinogo respublikanskogo tsentra distantsionnogo monitoringa i upravleniya parkom sel’skokhozyaistvennoy tekhniki [On the prerequisites for creating a unified republican center for remote monitoring and management of a fleet of agricultural machinery]. Sel’skokhozyaystvennaya tekhnika: obsluzhivanie i remont. 2019. N4. 62-76 (In Russian).

12. Nechaev V.I., Mikhaylushkin P.V., Zakarchevskiy O.V. Metodicheskie podkhody tekhniko-tekhnologicheskoy modernizatsii sel’skokhozyaistvennogo proizvodstva gosudarstv-chlenov EAES [Methodological approaches to technical and technological modernization of agricultural production of the EAEU member states]. Ekonomika sel’skogo khozyaistva Rossii. 2019. N2. 85-90 (In Russian).

13. Nechaev V.I., Sandu I.S., Mikhaylushkin P.V., Zakarchevskiy O.V. Metodika otsenki investitsiy v tekhniko-tekhnologicheskuyu modernizatsiyu sel’skokhozyaistvennogo proizvodstva [Methodology for assessing investments technical and technological modernization of agricultural production]. APK: Ekonomika, upravlenie. 2019. N3. 47-55 (In Russian).

14. Zykov A.V., Yunin V.A., Zakharov A.M. Model’ optimizatsii sostava mashinno-traktornogo parka na osnove primeneniya adaptivnykh tekhnologii proizvodstva sel’skokhozyaistvennoi produktsii v usloviyakh severo-zapadnogo regiona RF [Model of optimization of the composition of the machine and tractor fleet based on the use of adaptive technologies for the production of agricultural products in the north-western region of the Russian Federation]. Mezhdunarodnyy nauchno-issledovatel’skiy zhurnal. 2018. N11(77). 47-51 (In Russian).

15. Agarkova L.V., Malov G.I. Optimizatsiya sostava i ispol’zovaniya mashinno-traktornogo parka v zernovom proizvodstve [Optimization of the composition and use of the machine and tractor fleet in grain production]. Kant. 2017. N2(23). 87-93 (In Russian).

16. Kovalev I.L. Problemy obnovleniya mashinno-traktornogo parka APK Belarusi [Problems of updating the machine and tractor fleet of the agro-industrial complex of Belarus]. Sel’sko­khozyaistvennaya tekhnika: obsluzhivanie i remont. 2017. N10. 42-50 (In Russian).

17. Al’t V.V., Isakova S.P., Lapchenko E.A. Matematicheskaya model’ formirovaniya optimal’nogo mashinno-traktornogo parka s uchetom chelovecheskogo faktora [Mathematical model of the formation of an optimal machine and tractor fleet taking into account the human factor]. Aktual’nye problemy elektronnogo priborostroeniya APEP. 2016. 135-138 (In Russian).

18. Toigambaev S.K., Didmanidze O.N. Ekonomiko-matematicheskaya model’ komplektovaniya i tekhnicheskogo obsluzhivaniya parka mashin proizvodstvennykh predpriyatiy Kostanayskoy oblasti s uchetom mezhkhozyaystvennykh svyazey [Economic and mathematical model of acquisition and maintenance of the fleet of machines of industrial enterprises of the Kostanay region, taking into account inter-farm relations]. Ekonomicheskie issledovaniya i razrabotki. 2020. N5. 184-195 (In Russian).

19. Kataev Yu.V., Malykha E.F. Ekonomicheskoe obosnovanie optimal’nogo sostava mashinno-traktornogo parka v sel’sko­khozyaystvennom proizvodstve [Economic substantiation of the optimal composition of the machine and tractor fleet in agricultural production]. Nauka bez granits. 2020. N11(51). 35-41 (In Russian).

20. Zubina V.A. Analiz kriteriev optimizatsii sostava traktornogo parka v zavisimosti ot tipa vosproizvodstvennogo protsessa [Analysis of the criteria for optimizing the composition of the tractor fleet depending on the type of reproduction process]. Innovatsii v sel’skom khozyaystve. 2017. N4(25). 281-285 (In Russian).