大学的可持续管理

Q3 Engineering
M. Malsagov
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引用次数: 1

摘要

本文对高校可持续管理问题进行了思考。分析了大学作为一个活跃的系统,提出了一些可持续发展的标准,并用综合评价方法对其进行了形式化描述。提出了一系列系、学院和大学层面的可持续管理模式如下:研究项目参与者的动态激励模式;作为特征函数形式的游戏的静态奖励分配模型;部门员工的动态工作时间分配模型是基于强迫的正态或特征函数形式的差分博弈;具有可持续发展约束的对偶离散规划问题,用于确定教师的最佳员工结构,并评估不同部门配对工会的效率;高校工作人员在创新推进过程中的社会与私人利益动态协调模型,是基于冲动形成的正常与特色功能形式的差分博弈;最后,反腐运动的动态模型。重点放在问题陈述和可能的解决方法上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sustainable Management of Universities
This paper considers the problems of sustainable management of universities. A university as an active system is analyzed, and some sustainable development criteria are suggested and formally described using the integrated assessment approach. A series of sustainable management models at the levels of department, faculty, and university are presented as follows: a dynamic incentive model for the participants of a research project; a static reward distribution model as a game in the characteristic function form; a dynamic working time distribution model for department staff as a differential game in the normal or characteristic function form based on compulsion; dual discrete programming problems with sustainable development constraints for determining an optimal staff structure of a faculty, with assessing the efficiency of different paired unions of departments; dynamic coordination models for the social and private interests of university staff in the course of innovations promotion, as differential games in the normal and characteristic function form based on impulsion; finally, dynamic models of anti-corruption drive. Major emphasis is placed on problem statements and possible solution methods.
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来源期刊
Advances in Systems Science and Applications
Advances in Systems Science and Applications Engineering-Engineering (all)
CiteScore
1.20
自引率
0.00%
发文量
0
期刊介绍: Advances in Systems Science and Applications (ASSA) is an international peer-reviewed open-source online academic journal. Its scope covers all major aspects of systems (and processes) analysis, modeling, simulation, and control, ranging from theoretical and methodological developments to a large variety of application areas. Survey articles and innovative results are also welcome. ASSA is aimed at the audience of scientists, engineers and researchers working in the framework of these problems. ASSA should be a platform on which researchers will be able to communicate and discuss both their specialized issues and interdisciplinary problems of systems analysis and its applications in science and industry, including data science, artificial intelligence, material science, manufacturing, transportation, power and energy, ecology, corporate management, public governance, finance, and many others.
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