Research On Performance Evaluation Of Intelligent Manufacturing Enterprises In China

With the development of economy and the advancement of science and technology,the global manufacturing system,development model and development prospects have undergone major changes.As an important driving force for China's economic development,intelligent manufacturing plays a vital role not only in the development of China's manufacturing industry.It can promote the improvement of China's comprehensive national strength more efficiently.Developing a strong country to compete for the formulation of a national development strategy for the world's manufacturing market has caused a serious blow and profound impact on the development of China's traditional manufacturing industry.China's smart manufacturing faces a series of serious problems such as weak infrastructure and shortage of core technologies.China's manufacturing industry needs to step up its pace and promote its further development.This paper takes intelligent manufacturing enterprises as the research object.Firstly,it summarizes and summarizes the development status and research summary of intelligent manufacturing at home and abroad,and deeply analyzes the related research on the performance of intelligent manufacturing enterprises.Based on the principle of scientificity and rationality,this paper constructs this paper.The performance evaluation index system of intelligent manufacturing enterprises;secondly,starting from the evaluation method of enterprise performance,the evaluation methods and evaluation models used in this paper are introduced,and the selection methods of the samples and indicators in this paper are elaborated.Then,20 listed intelligent manufacturing enterprises in China are For example,the TOPSIS-gray correlation method and the dynamic incentive evaluation method model are constructed,and the model is used to evaluate the performance of China's intelligent manufacturing enterprises,through the degree of debt of enterprises in 2013-2017,sales performance of enterprises,operating income and The operating cost,the proportion of employees with bachelor degree or above,the per capita output value and the asset utilization ability are evaluated,and the comprehensive performance evaluation value of intelligent manufacturing enterprises in China is obtained.Then,combined with the current operation of intelligent manufacturing enterprises,the TOPSIS-gray correlation model and Measurement of dynamic excitation model The results were compared and analyzed,and the results of more comprehensive and comprehensive evaluation were obtained.The main factors affecting the performance of intelligent manufacturing enterprises were found.Finally,suggestions were made from the government and enterprises to provide decision support for promoting the development of intelligent manufacturing in China.