Assessment of the Level of Automation of Production Processes at Industrial Enterprises in Russian Regions
DOI:
https://doi.org/10.52575/2687-0932-2022-49-2-234-242Keywords:
industrial production, automation of technological processes, radio frequency identification, production process management, regions, normal distribution functionsAbstract
The need to transform production processes in industry is due to the tasks of significantly increasing labor productivity in complex and labor-intensive jobs. The solution to this problem requires the introduction of new technologies based on the automation of the production processes of marketable products. In modern research, when considering the issues of automation of production processes, little attention is paid to the regional peculiarities of the use by industrial enterprises of technologies such as radio frequency identification and imitation of human actions. The purpose of this study was to evaluate the indicators characterizing the current level of development of technologies that ensure automation of production processes at manufacturing enterprises in the regions of Russia. At the same time, three groups of technologies were considered: radio frequency identification technologies for monitoring and controlling production processes, technologies for identifying and tracking finished products, technologies that simulate human actions for automation purposes. In the course of the study, the author's methodology for assessing the distribution of specific indicators by region was used based on the development of mathematical models. The simulation was based on official statistical information for 82 regions of Russia for 2020. The study showed that in 2020, more than a quarter of all industrial enterprises used radio frequency identification technologies to monitor and manage production processes. Every ninth company used such technologies to track finished products. Every fifth company has implemented automation of production processes, including the use of robots. The obtained results contribute to the development of theoretical aspects of evaluating the effectiveness of automation of technological processes, as well as determining the regional level of use of the technologies in question.
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