灾害学2025，Vol.40Issue(2)：157-163,7.DOI:10.3969/j.issn.1000-811X.2025.02.024
人工智能赋能下应急医疗物资供应链能力提升研究
Artificial Intelligence-Enabled Enhancement of Emergency Medical Supplies Supply Chain Capabilities for Epidemic Prevention
摘要
Abstract
Public health emergencies have a severe impact on China's economy,social stability,and public safety,posing significant challenges to emergency supply chain systems.An artificial intelligence(AI)-enabled mechanism is in-troduced to analyze the dynamic relationship between epidemic prevention and material supply,and to construct a dynamic model for the supply chain system of emergency medical supplies.Using the Wuhan outbreak as a case study,the effects of AI levels and policy incentives on the operation of the supply chain system are explored and effective ways to enhance emer-gency material support capabilities are identified.The findings reveal that government policy incentives and AI levels affect the supply chain through different pathways.In the short term,policy incentives can rapidly intervene in market supply,driving increased production and imports to meet demand.However,in the long term,improving big data capabilities and enhancing AI system support are crucial for boosting supply chain efficiency and emergency response capabilities.By inte-grating policy interventions with AI systems,it is possible to reduce transmission risks and effectively control the severity of epidemics.关键词
应急医疗物资/人工智能/疫情防控/系统动力学Key words
emergency medical supplies/artificial intelligence/epidemic prevention and control/system dynamics分类
安全科学引用本文复制引用
史文强,胡桥登,杨文俊,李紫瑶..人工智能赋能下应急医疗物资供应链能力提升研究[J].灾害学,2025,40(2):157-163,7.基金项目
国家自然科学基金面上项目"平台型电商企业生态圈价值共创实现机制研究—基于供应链协同视角"(72272068) （72272068）
国家自然科学科学基金地区科学基金项目"生鲜农产品全程冷链物流服务网络集成建模与优化决策研究"(72261017) （72261017）
江西省自然科学基金项目"延迟效应及失望规避下政企联合储备应急动态模型研究"(20242BAB20013) （20242BAB20013）
河南省哲学社会科学规划项目"河南省多主体协同应急能力提升路径研究"(2022BZZ015) （2022BZZ015）
江西财经大学第十九届学生科研课题项目"突发公共卫生事件下人工智能赋能应急医疗物资供应链韧性提升策略"(20241124235359297) （20241124235359297）
