:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies
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ISSN 2228-9860
eISSN 1906-9642
CODEN: ITJEA8
FEATURE PEER-REVIEWED ARTICLE
Vol.12(13) (2021) |
Labor Demand Forecast in the Context of Robotics Implementation in Russian Agriculture
A.N. Semin, E.A. Skvortsov (Federal State Budgetary Educational Institution of Higher Education Ural State Economic University Ekaterinburg, st. March 8 / Narodnaya Volya, 62/45, 620144, Russian Federation),
E.G. Skvortsova (Federal State Budgetary Educational Institution of Higher Education Ural State Agrarian University Ekaterinburg, Karl Liebknecht ul., 42, 620075, Russian Federation).
Disciplinary: Agricultural Management, Labor Studies.
DOI: 10.14456/ITJEMAST.2021.261
Keywords: digital transformation, agriculture, labor resources, mathematical model, need for labor resources, development concept, robotization, robotic milking.
AbstractIn the context of implementation of robotics in agriculture, there is a decrease in the need for workers engaged in low-skilled labor and an increase in the need for specialists interacting with robots. The number of tractor drivers decreased by 12%, machine milking operators by 11.2%, pig-farm workers by 41.6%, while the demand for robotic milking operators increased by 30% and robotic maintenance technicians doubled. The study aims to develop an optimization model for forecasting the need for labor resources in the context of the use of robotics in agriculture. The standard need for workers at the current rates of robotization of agriculture was used as a limitation of the model. Under the basic scenario of robotization of the industry, a decrease in the need for milking machine operators will be 57 people, cattle-farm workers 49 people, the need for robotic milking operators will increase 15 people until 2024, and for robotics maintenance technicians by 3 people. Under the optimistic scenario of robotization of agriculture, the need for robotic milking operators will increase by 58 people until 2024, and in robotics maintenance technicians by 12 people. The executive authorities, managers and specialists of agricultural organizations can use this model to forecast labor needs in order to determine the surplus or deficit of certain workers.Paper ID: 12A13I
Cite this article:
Semin, A.N., Skvortsov, E.A., Skvortsova, E.G. (2021). Labor Demand Forecast in the Context of Robotics Implementation in Russian Agriculture. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 12(13), 12A13I, 1-9. http://doi.org/10.14456/ITJEMAST.2021.261
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Other issues:
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Vol.12(12)(2021)
Vol.12(11)(2021)
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