摘要
高校后勤集团运营绩效直接影响学校师生生活质量,如何定量的评估其有效性,是亟待解决的问题。本文主要对某高校后勤集团运营绩效进行分析,首先通过灰色预测得到经济效益、发展潜力、内部运营指标对总绩效的影响,确定各细化指标体系间的联系。其次,通过Topsis综合评价了各细化指标之间的最佳权值,并对其经济效益指标、发展能力指标、内部运营指标以及客户满意度指标进行综合评价。考察这些指标的走势,分析了四个指标之间的动态关系。然后,运用主成分分析法建立数学模型,通过数值模拟来预测未来经济效益指标、发展能力指标和内部运营指标的发展趋势。最后,结合该后勤集团的实际情况,对该后勤集团的运营绩效的提高提出了合理化的建议。
The operational performance of a university logistics group directly affects the quality of life of school teachers and students, and how to quantitatively assess its effectiveness is an urgent problem. This paper mainly analyzes the operational performance of a university logistics group, firstly, the influence of economic efficiency, development potential and internal operation indexes on the total performance is obtained through gray prediction, and the connection between each refined index system is determined. Secondly, the optimal weights among the refined indicators were evaluated comprehensively by Topsis, and their economic efficiency indicators, development capacity indicators, internal operation indicators and customer satisfaction indicators were evaluated comprehensively. The trends of these indicators were examined, and the dynamic relationships among the four indicators were analyzed. Then, a mathematical model was established using principal component analysis to predict the future trends of economic efficiency indicators, development capability indicators and internal operation indicators through numerical simulation. Finally, rationalized suggestions for the improvement of the operational performance of this logistics group are made in the light of the actual situation of this logistics group.
出处
《应用数学进展》
2021年第7期2519-2528,共10页
Advances in Applied Mathematics
