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基于感染人数预测的应急仓库订货数量研究OA

Research on the Order Quantity of Emergency Warehouse Based on the Prediction of the Number of Infected People

中文摘要英文摘要

文章基于LSTM模型预测感染人数,构建了物资需求模型,推导出应急仓库订货数量.文章首先从应急物资分类入手,为构建订货模型铺垫.然后,针对预测感染人数这一问题的特点选定LSTM作为预测模型,并搭建LSTM模型网络.最后综合各方面影响因素,建立订货数量计算公式.文章提供了重大突发公共卫生事件下单周期应急仓库订货数量量化方法,为应急物资供应链仓储订货提供了科学的数据支撑.

This paper predicts the number of infected people based on LSTM model,constructs material demand model,and derives the order quantity of emergency warehouse.Firstly,this paper starts with the classification of emergency materials,paving the way for building an order model.Secondly,for the characteristics of the problem of predicting the number of infected people,LSTM is selected as the prediction model,and the LSTM model network is established.Finally,this paper considers various influencing factors to establish a formula for calculating the order quantity.The paper provides a quantitative method for the order quantity of emergency warehouse in single cycles during major public health emergencies,providing scientific data support for the storage and ordering of emergency materials in the supply chain.

时晓旭;郭慧;赖俊业;王养廷

华北科技学院 计算机学院,河北 廊坊 065201

计算机与自动化

应急仓库订货应急物资LSTM模型感染人数预测

emergency warehouse orderingemergency materialsLSTM modelprediction of the number of infected people

《现代信息科技》 2024 (017)

134-138,143 / 6

科技创新2030-新一代人工智能重大项目(2021ZD0114203)

10.19850/j.cnki.2096-4706.2024.17.026

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