01. Komarov V.A., Kurashkin M.I. Assessing the Equipment Level of Technical Service Enterprises in the Agricultural Sector of the Volga Federal District. Engineering Technologies and Systems

DOI: 10.15507/2658-4123.032.202203.338-354

Assessing the Equipment Level of Technical Service Enterprises in the Agricultural Sector of the Volga Federal District

Vladimir A. Komarov
Professor of the Chair of Technical Service of Machines, National Research Mordovia State University (68 Bolshevistskaya St., Saransk 430005, Russian Federation), Dr.Sci. (Engr.), ORCID: https://orcid.org/0000-0003-1910-2923 , Researcher ID: G-8673-2018 , This email address is being protected from spambots. You need JavaScript enabled to view it.

Mikhail I. Kurashkin
Postgraduate Student of the Chair of Technical Service of Machines, National Research Mordovia State University (68 Bolshevistskaya St., Saransk 430005, Russian Federation), ORCID: https://orcid.org/0000-0003-3473-8081, Researcher ID: B-1295-2019, This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract
Introduction. The level of technological equipment and quality of equipment placement at the technical service enterprises have a significant impact on the size of work areas and the efficiency of travel paths for moving items of agricultural machinery under repair. The purpose of research is to assess the actual equipment level and the quality of equipment placement at the specific work areas of technical service enterprises.
Material and Methods. The quality of the equipment placement at technical service enterprises is determined by comparing the actual and standard values of the coefficient that takes into account the size of work areas and travel paths for moving items of agricultural machinery under repair in particular work areas. There has been proposed a method for determining the level of equipment on the basis of the equipment deterioration and the coefficient of the equipment placement density.
Results. Eighty percent of the work areas do not comply with the basic standards of technological design. The actual value of the equipment placement density coefficient at the work areas under research was 1.1‒42.8. The average value of the coefficient was 12.5 for enterprises with a fleet of less than 25 tractors, 10.2 for enterprises with a fleet of 25 to 50 tractors and 8.6 for enterprises with a fleet of more than 50 tractors. The share of the work areas with high density of equipment placement was 13.3%, with average density 40.0% and with low density 46.7%. The coefficients closest to the standard values were found in the work areas for repairing the hydraulic systems and oil equipment, restoring machinery parts with polymer composites, and for painting and drying. The values of the coefficient of equipment placement density at such basic work areas as for bench-working and assembling, forging works, welding, fusing, and etc. in some times differ from the standard values.
Discussion and Conclusion. The conducted research showed that most of work areas of technical service enterprises in the Volga Federal District have a low level of equipment. The results of the study will allow optimizing the size of the work areas and ensuring the efficiency of travel paths for moving items of agricultural machinery under repair within the buildings.

Keywords: technical service, enterprise, work area, equipment, equipment placement

Conflict of interest: The authors declare no conflict of interest.

For citation: Komarov V.A., Kurashkin M.I. Assessing the Equipment Level of Technical Service Enterprises in the Agricultural Sector of the Volga Federal District. Engineering Technologies and Systems. 2022;32(3):338‒354. doi: https://doi.org/10.15507/2658-4123.032.202203.338-354

Contribution of the authors:
V. A. Komarov – scientific guidance, formulating the main directions of research, developing theoretical background, and preparing the article original version.
M. I. Kurashkin – monitoring technical service enterprises, processing research results, computing and visualizing.

All authors have read and approved the final manuscript.

Submitted 04.04.2022; approved after reviewing 21.05.2022;
accepted for publication 10.06.2022

REFERENCES

1. Bondarenko V.N., Zhukov Ye.M. [Modeling of the Layout and Technological Solution of a Flexible Production System in Order to Optimize the Arrangement of the Main Technological Equipment]. Vestnik Tambovskogo universiteta. Seriya: Yestestvennye i tekhnicheskie nauki. 2006;11(4):594–596. Available at: http://journals.tsutmb.ru/a8/upload/2019-01/Бондаренко,%20Жуков.pdf (accessed 31.03.2021). (In Russ.)

2. Voronenko V.P., Kutselap K.A., Shaldov A.E. Equipment Allocation on Production Site Using Flexible Models of Technological Production Routes for Manufacturing Parts. Naukoemkie tekhnologii v mashinostroenii. 2018;(8):11–15. (In Russ., abstract in Eng.) doi: https://doi.org/10.30987/article_5b536400cf58b7.82336964

3. Kutselap K.A. Technique of Definition of the Optimum Way of Placement of the Equipment on the Production Site for the Purpose of Minimization of Transport Expenses. Fundamental and Applied Problems of Engineering and Technology. 2019;(3):27–33. Available at: http://oreluniver.ru/public/file/archive/Annotatsiya_ZHurnal_3.pdf (accessed 29.11.2021). (In Russ., abstract in Eng.)

4. Zabudskiy G.G., Amzin I.V. Algorithms of Compact Location for Technological Equipment on Parallel Lines. Sibirskiy zhurnal industrialnoy matematiki. 2013;16(3):86–94. Available at: http://www.mathnet.ru/php/archive.phtml?wshow=paper&jrnid=sjim&paperid=794&option_lang=rus (accessed 29.11.2021). (In Russ., abstract in Eng.)

5. Sokolova Ya.V. Methods of Equipment Placement at Manufacturing Divisions of Machine-Building Production by the Method of Ant Colonies. Tekhnologiya mashinostroeniya. 2013;(4):65–68. Available at: http://www.ic-tm.ru/info/4_20 (accessed 29.11.2021). (In Russ., abstract in Eng.)

6. Thurer M., Silva C., Stevenson M. Workload Control Release Mechanisms: from Practice Back to Theory Building. International Journal of Production Research. 2010;48(12):3593–3617. doi: https://doi.org/10.1080/00207540902922810

7. Achuth Kumar N.V., Asadi S.S. Assesement on Factors Declining Labour Productivity in Construction Projects. International Journal of Civil Engineering and Technology. 2017;8(1):340–348.

8. Mohamed A.N. Knowledge Based Approach for Productivity Adjusted Construction Schedule. Expert Systems with Applications. 2001;21(2):87–97. doi: https://doi.org/10.1016/S0957-4174(01)00029-X

9. Voronenko V.P., Sokolova Y.V. Algorithm for Design Layout in Object-Locked Areas in Machining Workshops with Serial Production. Vestnik MSTU “STANKIN”. 2012;(1):11–14. Available at: http://stankin-journal.ru/ru/articles/493 (accessed 29.11.2021). (In Russ., abstract in Eng.)

10. Chigirinskiy Yu.L. [Ability to Mathematically Solve the Problem of Designing the Layout of Production Facilities]. Izvestiya Volgogradskogo gosudarstvennogo tekhnicheskogo universiteta. 2008;4(9):50–53. Available at: http://www.vstu.ru/uploadiblok/files/izvestiya/archive/7/2008-09.pdf (accessed 29.11.2021). (In Russ.)

11. Yurov A.N. Designing an Automated System Production Planning. Modeling of Systems and Processes. 2019;12(1):87–93. doi: https://doi.org/10.12737/article_5d639c813abcb9.89415758

12. Timofeeva Ye.V., Timofeev M.V., Lebedev V.S. [Automation of Equipment Placement on the Batch Production Area Using Heuristic Methods]. Vestnik Rybinskoy gosudarstvennoy aviatsionnoy tekhnologicheskoy akademii im. P. A. Soloveva. 2014;(3):115–120. (In Russ.)

13. Balalaev A.N., Parenyuk M.A. [Evaluating the Efficiency of Equipment Placement at Wagon Facilities]. Nauka i obrazovanie transportu. 2016;(1):17–20. (In Russ.)

14. Anosova A.I., Вuraev M.K. Choice of Technological Level Indicators of Technical Support Service Enterprise in Agroindustrial Complex. Vestnik IrGSCHA. 2014;(63):85–91. Available at: http://vestnik.irsau.ru/files/v63.pdf (accessed 08.10.2021). (In Russ.)

15. Rokni S., Fayek A.R. A Multi-Criteria Optimization Framework for Industrial Shop Scheduling Using Fuzzy Set Theory. Integrated Computer-Aided Engineering. 2010;17(3):175–196. doi: https://doi.org/10.3233/ICA-2010-0344

16. Khadiev K., Makarychev K., Belov V. On Analysis of Input Data for Jobs Shop Scheduling Problem with Respect to Workers Productivity. International Journal of Pharmacy and Technology. 2016;8(3):15133–15137. Available at: http://www.ijptonline.com/wp-content/uploads/2016/10/15133-15137.pdf (accessed 29.11.2021).

17. Gorskiy S.S. Effectiveness Increase of Retrieval System by Optimization of Material Flows at the Production Area of Mechanical Assembly Production. Izvestiya MGTU “MAMI”. 2009;(2):195–201. Available at: https://old.mospolytech.ru/pages/files/sc_journal_2(8)_2009.pdf (accessed 31.03.2021). (In Russ., abstract in Eng.)

18. Kravchenko I.N., Korneev V.M., Kolomeichenko V., et al. Method for Developing a System of Process Equipment for Maintenance Enterprises. Machinery and Equipment for Rural Area. 2019;(4):39–43. (In Russ., abstract in Eng.) doi: https://doi.org/10.33267/2072-9642-2019-4-39-43

19. Voronenko V.P., Kutselap K.A., Sedyh M.I. Synthesis of Optimal Planning Solution for Production Areas of Multi-Item Production Using Alternative Technological Processes. Vestnik MSTU “STANKIN”. 2020;(4):23–27. Available at: http://stankin-journal.ru/ru/articles/2326 (accessed 31.03.2021). (In Russ., abstract in Eng.)

20. Lomakin D.O. An Integrated Approach to the Assessment of Technical and Technological Equipment of Workshop. Actual Directions of Scientific Researches of the XXI Century: Theory and Practice. 2015;3(4-1):194–197. Available at: https://naukaru.ru/ru/nauka/article/7556/view (accessed 08.10.2021). (In Russ., abstract in Eng.)

21. Ivanov V.P., Vigerina T.V. Improving the Quality of Projects of Repair Companies Using Composition Centers. Machinery Technical Service. 2021;(1):115–123. (In Russ., abstract in Eng.) doi: https://doi.org/10.22314/2618-8287-2021-59-1-115-123

22. Ivanov V.P. Composition Centers in Production Cases Layout Motor Transportation Companies. Herald of Polotsk State University. Series B. Industry. Applied Sciences. 2021;(3):28–32. Available at: https://journals.psu.by/index.php/industry/article/view/868/770 (accessed 25.03.2022). (In Russ., abstract in Eng.)

23. Ivanov V.P., Vigerina T.V., Veremey G.A. New Planning Solutions for Production Sites of Vehicle Enterprises. Machinery Technical Service. 2022;(1):11–22. Available at: https://elibrary.ru/item.asp?id=48111259 (accessed 25.03.2022). (In Russ., abstract in Eng.)

24. Komarov V.A. Research of Technical Service Enterprises for Promoting Equipment Reliability (Case Study of Agro-Industrial Complex of the Republic of Mordovia). Mordovia University Bulletin. 2018;28(2):222–238. (In Russ., abstract in Eng.) doi: https://doi.org/10.15507/0236-2910.028.201802.222-238

25. Komarov V.A., Salmin V.V., Kurashkin M.I. Study of Master Plans of Technical Service Enterprises in Agricultural Sector. Engineering Technologies and Systems. 2019;29(4):560–577. (In Russ., abstract in Eng.) doi: https://doi.org/10.15507/2658-4123.029.201904.560-577

26. Komarov V.A., Nuyanzin E.A., Kurashkin M.I. Study of the Рrocess of Putting into Storage of Combine and Self-Propelled Machinery in the Regional Agribusiness. Machinery and Equipment for Rural Area. 2019;(5):32–36. (In Russ., abstract in Eng.) doi: https://doi.org/10.33267/2072-9642-2019-5-32-36

27. Komarov V.A., Nuyanzin Ye.A., Kurashkin M.I. Storage of Complex Agricultural Machinery in Mordovia. Selskiy Mechanizator. 2019;(9):38–40. Available at: http://selmech.msk.ru/919.html (accessed 29.11.2021). (In Russ., abstract in Eng.)

28. Komarov V.A., Kurashkin M.I. Studying the Normal Operation of Grain Harvesters within the Warranty Period. Engineering Technologies and Systems. 2021;31(2):188–206. (In Russ., abstract in Eng.) doi: https://doi.org/10.15507/2658-4123.031.202102.188-206

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