id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-32551	Min, Yiqing	Supply Chain Risk Prediction and Management Based on Structural Equation Modeling and Random Forest	2025	6	.pdf	application/pdf	2611	127	36	With the introduction of machine - learning algorithms, the prediction of supply chain risks and the support of intelligent decision-making have become more extensive and efficient[5]. In this paper, RF is applied to large sets of supply chain data to predict the occurrence of risks and the classification of supply chain risks.	cache/ajst-32551.pdf	txt/ajst-32551.txt