Plication Evaluation of Big Data in Pharmaceutical Supply Chain
Under the impact of Omicron,due to the surge of residents'demand for related drugs,the medical resources are rela-tively tight in a certain period of time,but the demand for resources in various provinces and cities is not at the same time,which makes the supply chain management of pharmaceutical enterprises more difficult.Based on big data management technology,this paper analyzes the application process of big data in pharmaceutical supply chain management,and uses empirical analysis method to reach the following research conclusions:First,according to the research results of the academic circle and the supply chain management practice of pharmaceutical enterprises,the supply chain management system of the medical industry mainly includes three main systems:distributed flow data management,pharmaceutical industry data management and pharmaceutical terminal in-telligent management,and contains 12 subsystems under the main system.Second,in the mass data management,the data need to be cleaned to ensure data quality,which will have an important impact on the research conclusion.Third,by comparing the weight values of the main system and subsystems,it can be judged that terminal intelligent management and data cleaning are very critical in the process of supply chain management in the medical industry.
big data technologypharmaceutical industrysupply chain managementdata cleaningintelligent terminal
国家科技期刊平台
NSTL
万方数据
维普
