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Mathematical modeling of the process of sustainable development of the personnel potential of industrial universities

机译:工业大学人事潜力可持续发展过程的数学建模

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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.
机译:该论文考虑了在一定时期的运作期间铁路大学教学人员数量的数学差异模型。借助于普通微分方程的构建系统,提出了一种管理工业大学人员潜力的可持续发展的方法。在他的研究中,提交人依靠俄罗斯科学家的作品,特别是[1-5]。为了实施科学方法的原则,文章提出了一种使用数学工具和数学建模研究大学教师数量的正规的方法。在这种情况下建模允许我们识别一些模式并有助于管理铁路大学的人员潜力的可持续发展。本文介绍了具有给定初始条件的微分方程系统的Cauchy问题的分析解决方案。基于微分方程构建的模型具有实用价值,因为它允许您在指定时间确定和预测大学的人员数量。本文基于统计分析方法,研究了按年龄的PPS的组成。确定了在提供高度合格人员的大学提供风险的教师组中的一些消极趋势。

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