Big Data Optimization and Applications in Running Efficiency of Higher Education

Mingxia Lu,Zhu Xiao

doi:10.1155/2022/1044800

Abstract

The world is undergoing great changes that have not been seen at present; colleges and universities can only adapt to social development with a more active and open attitude. Meanwhile, colleges and universities strive to obtain more social resources during the process of gradually embedding social funds into the operation system of universities. In such a backdrop, we establish an optimization model for university running efficiency under limited funds, where the objective function is quadratic and restraint condition is linear. With the help of optimization theory, we have obtained the optimal solution of this optimization model and put forward corresponding suggestions to improve the running efficiency of higher education.

Highlights

Great changes have taken place in the tertiary education system in China in recent years
An important conclusion of this theory can be expressed in the following way; that is, the total cost of a single organization is not more than the sum of the costs of production in different organizations if a single organization produces two or more products. is conclusion shows that there is a scope economy in this mode of production [2,3,4,5,6,7]
Baumol et al pioneered a whole set of cost-effectiveness tools to analyze multiproduction organizations [8]. eir pioneering applied research shows a basic idea of multiorganization theory, that is, frictionlessness in the perfectly contestable market would lead to a sort of competitive equilibrium with desirable welfare consequences under some structural conditions. erefore, from the perspective of cost-saving, it may be less expensive to produce some things together rather than apart

Summary

Mingxia Lu

E world is undergoing great changes that have not been seen at present; colleges and universities can only adapt to social development with a more active and open attitude. Colleges and universities strive to obtain more social resources during the process of gradually embedding social funds into the operation system of universities. In such a backdrop, we establish an optimization model for university running efficiency under limited funds, where the objective function is quadratic and restraint condition is linear. With the help of optimization theory, we have obtained the optimal solution of this optimization model and put forward corresponding suggestions to improve the running efficiency of higher education

Introduction

Total number of fulltime teachers None

Methodology and Model