Study on Key Risk Influencing Factors of TCM Supply Chain Based on BP Neural Network

Abstract

Although China’s TCM industry has made great development in recent years, there are still some problems in the planting, harvesting, processing, packaging and other related links of the TCM supply chain, which lead to difficult to control the quality risk of the TCM supply chain. Therefore, the author used Pythonprogramming language to establish the risk evaluation model of TCM supply chain and random forest model based on BP neural network, so as to obtain the application model tool of supply chain risk rating evaluation, the characteristic weight of 35 risk factors, the weight of the level index (each link of TCM supply chain risk measurement evaluation system). The study found that the top six evaluation indicators of the highest risk factors were”Imperfect origin infrastructure has an impact on quality control”, “Farmers no specialized machinery and equipment for planting Chinese medicine affect the quality of Chinese medicinal materials”,”lack of consciousness, cultural level and technical level affect the quality of Chinese medicinal materials”, “Chinese medicinal materials or medicinal pieces transport unclean, cause medicinal materials pollution”, “farmers harvest professional knowledge”, “training professional and technical personnel, formulate policies and career promotion channels”; and cultivation of Chinese medicinal materialsThe processing link of Chinese herbal medicine occupies the largest weight in the supply chain. Government departments need to strengthen the control of these key risk factors and important links of the supply chain. Study on Key Risk Influencing Factors of TCM Supply Chain Based on BP Neural Network下载