Issue |
E3S Web Conf.
Volume 296, 2021
1st International Conference on Environmental Sustainability Management and Green Technologies (ESMGT 2021)
|
|
---|---|---|
Article Number | 08004 | |
Number of page(s) | 12 | |
Section | Education and Enlighment for Sustainable Development | |
DOI | https://doi.org/10.1051/e3sconf/202129608004 | |
Published online | 28 July 2021 |
Mathematical modeling of the process of sustainable development of the personnel potential of industrial universities
Ural State University of Railway Transport, 66 Kolmogorova str., Yekaterinburg, Russia, 620034
* Corresponding author: kalganova.natalia@yandex.ru
The paper considers mathematical differential models of the dynamics of the number of teaching staff of a railway university during a certain period of its functioning. With the help of the constructed systems of ordinary differential equations, a method for managing the sustainable development of the personnel potential of industrial universities is proposed. In his research, the author relied on the works of Russian scientists, in particular, on [1-5]. To implement the principle of the scientific approach, the article proposes a method for studying the regularities of the dynamics of the number of university faculty members using mathematical tools and mathematical modeling. Modeling in this case allows us to identify some patterns and contribute to the management of the sustainable development of the personnel potential of railway universities. The paper presents an analytical solution of the Cauchy problem for a system of differential equations with given initial conditions. The model built on the basis of differential equations has practical value, because it allows you to determine and predict the number of personnel of the university at a specified time. In this paper, based on the methods of statistical analysis, the composition of PPS by age is studied. Some negative trends in the groups of teachers that create risks in the provision of the university with highly qualified personnel are identified.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.