ANP-Fuzzy方法在电力企业绩效考核中的应用研究

Abstract

Abstract: Performance evaluation is an effective means for enterprises to enhance their performance. However, performance evaluation has no obvious effect on performance improvement of electric power enterprises in China. As power industry is infrastructure industry of national economy development, the performance evaluation has become a hot issue in China. Regarding the large scale and complex function of electric power enterprises, there are complex mutual relationships among the performance indicators. The performance indicators are mostly qualitative indicators, so it is hard to evaluate them accurately. The traditional performance evaluation methods do not take these factors into account, which causes the results of performance evaluation cannot reflect the true performance of the employees. The performance evaluation is prone to become a mere formality. Regarding the defects of traditional performance evaluation methods, the comprehensive evaluation method is put forward in this paper based on ANP-Fuzzy. Firstly, the indicator system and the criteria of performance evaluation are established to provide a standardized evaluation frame for the employees. Secondly, the ANP structure which can reflect the mutual relationships among indicators is used to determine the weights of the interactive indicators. On this basis, an empirical research is conducted based on the actual situation of a city-level power supply enterprises. The results show that it is reasonable and feasible to apply the ANP-Fuzzy method to the performance evaluation of electric power enterprises. This method can effectively distinguish the differences of performance between the aspects of an employee and the differences of performance between different employees. This method can help the employees to find the performance improvement space of their own, and obviously improve the employees’ performance. Additionally, by using the software of Super Decisions and Matlab, this method can be conveniently put into application.

Key words: performance evaluation, electric power enterprise, ANP, Fuzzy, performance improvement

CLC Number:

F272

YU Shun-kun, ZHOU Li-sha, LI Chen. Research on the Application of ANP-Fuzzy Method in the Performance Evaluation of Electric Power Enterprise[J]. Chinese Journal of Management Science, 2013, (1): 165-173.

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Research on the Application of ANP-Fuzzy Method in the Performance Evaluation of Electric Power Enterprise

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