Research Of Supply Chain Performance Management Based On Big Data Application

With the development of economic globalization,the competition between domestic and foreign enterprises is more and more strong,and are actively engaged in scientific and technological revolution and industrial change,supply chain and large data applications to the enterprise has brought opportunities and challenges.The strategic development concept and the cooperative consciousness of the enterprise require the agility of the supply chain to be able to quickly dig,filter,analyze and make rapid response to the market data.Large data applications can obtain a variety of unstructured data needed by the enterprise from the massive information data and analyze it to form visual information.Information sharing has always been a hotspot in the field of supply chain management research,but these studies are based on people’s thinking and cooperation awareness of the game or research,the lack of information technology on the system to change and improve the idea.This paper mainly studies the impact of large data application on supply chain performance,and explores the supply chain performance suggestions explored in order to provide theoretical reference for the application of large data application to supply chain performance management.This paper analyzes the nature of the interaction between information sharing,big data application and supply chain performance through the use of information sharing as the media and the academic achievements of relevant research fields at home and abroad for further analysis of the three systems.Through the study of research and system theory,the paper constructs the conceptual model of information sharing,big data application and supply chain performance as the basic discussion variables,and explores the mechanism of big data application to change the information sharing mode and improve the performance of supply chain.Combined with the established model and hypothesis,the use of theoretical research and empirical analysis of the two-way test to the central and western regions of the automobile manufacturing industry as the main body of the survey,the main use of questionnaire survey data acquisition,and collected data obtained The system was selected and analyzed.Based on the structural equation model,SPSS21.0 and Amos19.0 were used as the tools for the data analysis and statistics of this study.The basic mathematical analysis and statistical analysis of the collected 200 effective survey data were carried out.Through the analysis of big data application,information sharing and supply chain performance,the paper chooses the big data application,information sharing and supply chain performance dimension as the research variables,constructs the theoretical model between the three,and designs Suitable research programs and questionnaires.Through a series of statistical analysis of the data and hypothesis model,the interaction and influence relationship between the three are revealed.First,the application of two large-scale data mining and cloud data to the application of two dimensions of big data application dimension and big data show a significant positive impact on supply chain performance.Second,the information sharing dimension and its sub-dimensions also show a significant positive impact on supply chain performance.Thirdly,the application of fractal dimension cloud technology to data sharing has a significant effect on the information sharing level of information sharing,and there is a significant positive effect on the relationship between the other dimensions.Combined with the study of the interaction between the three mechanisms,respectively,from the supply chain operation reference model evaluation indicators and the construction of supply chain data platform between the two aspects of supply chain performance management Reference recommendations.