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公共卫生事件下烟草工商企业卷烟运输配送环节疫情防控压力模型研究
引用本文:刘薇,李斑,刘璐.公共卫生事件下烟草工商企业卷烟运输配送环节疫情防控压力模型研究[J].中国烟草学报,2020,26(6):111-117.
作者姓名:刘薇  李斑  刘璐
作者单位:中烟商务物流有限责任公司, 北京市西城区广安门外大街9号 100055
摘    要:突发公共卫生事件时,卷烟运输配送环节因其范围广、交互性强等作业特性,成为疫情防控的关键部位。烟草工、商企业卷烟运输配送业务覆盖全国三百余个城市、五百余万零售客户,企业卷烟运输配送环节疾控压力迅速增加。本文以风险管理理论和RBS方法为基础,依据全国新型冠状病毒肺炎(COVID-19)疫情报告数据和烟草行业经济运行数据,从疫情发生的可能性、严重性和烟草行业敏感性等三个维度构建具有行业特征的城市疫情风险分级三维指标体系,并结合烟草工商企业卷烟运输配送作业数据,设计该环节疫情输入风险指标,计算企业所面临的疫情防控压力指数,从而建立公共卫生事件下烟草工商企业卷烟运输配送环节疫情防控压力模型,为烟草企业科学评估疫情防控压力、合理划分风险等级、有效制定分级分类防控策略提供依据。 

关 键 词:公共卫生事件    物流    风险分级    压力模型
收稿时间:2020-04-13

Study on pressure model of epidemic prevention and control for cigarette transportation and distribution of tobacco enterprises under public health events
Affiliation:China Tobacco E-commerce and Logistics Co., Ltd., Beijing 100055, China
Abstract:Under public health emergencies, cigarette transportation and distribution has become a key link of epidemic prevention and control due to their wide-range and strong interaction. The cigarette transportation and distribution business of tobacco manufacturing and commercial enterprises covers more than 300 cities and more than 5 million retail clients in China. The pressure of epidemic control in such link is rapidly increasing. Based on risk management theory and RBS method and using the national coronavirus disease 2019 (COVID-19) epidemic report data and tobacco industry economic operation data, A three-dimensional index system for urban epidemic risk classification is built from the three dimensions of probability, severity and sensitivity of tobacco industry in this paper. Then, combined with the data of cigarette transportation and distribution operations, we designed the risk index of the imported epidemic cases, and calculated the pressure index of the epidemic prevention faced by enterprises. Eventually, the pressure model of epidemic prevention and control of the tobacco manufacturing and commercial enterprises under the public health incident is established, which provides a basis for tobacco companies to scientifically assess the pressure of epidemic prevention, reasonably classify risk levels, and effectively formulate hierarchical strategies for epidemic prevention and control. 
Keywords:
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