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[1]邸鸿喜,魏玖长,张亚,等.重大疫情下疫苗冷链物流在物联网环境中的风险评估*[J].中国安全生产科学技术,2022,18(4):54-60.[doi:10.11731/j.issn.1673-193x.2022.04.008]
　DI Hongxi,WEI Jiuchang,ZHANG Ya,et al.Risk assessment on cold chain logistics of vaccine in Internet of Things environment under major epidemic situation[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2022,18(4):54-60.[doi:10.11731/j.issn.1673-193x.2022.04.008]
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重大疫情下疫苗冷链物流在物联网环境中的风险评估*
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
18
期数:
2022年4期
页码:
54-60
栏目:
学术论著
出版日期:
2022-04-30

文章信息/Info

Title:
Risk assessment on cold chain logistics of vaccine in Internet of Things environment under major epidemic situation
文章编号:
1673-193X(2022)-04-0054-07
作者:
邸鸿喜; 魏玖长; 张亚; 卢逸名
（1.西安科技大学 管理学院，陕西 西安 710054；
2.中国科学技术大学 管理学院，安徽 合肥 230026)
Author(s):
DI Hongxi;  WEI Jiuchang;  ZHANG Ya;  LU Yiming
(1.School of Management,Xi’an University of Science and Technology,Xi’an Shaanxi 710054,China;
2.School of Management,University of Science and Technology of China,Hefei Anhui 230026,China)
关键词:
重大疫情; 疫苗冷链; 物联网; 风险评估
Keywords:
major epidemic situation;  vaccine cold chain;  Internet of Things (IOT);  risk assessment
分类号:
X913.4
DOI:
10.11731/j.issn.1673-193x.2022.04.008
文献标志码:
A
摘要:
为识别和应对重大疫情下疫苗冷链过程中的风险，研究物联网环境中在人-机-环-管理下，以加工包装、储存、运输、装卸搬运、接种为风险链的评估指标体系，全面分析各个环节风险因素，提炼16个影响疫苗冷链质量安全风险点。根据因果关系将风险评价指标体系转换为贝叶斯网络结构，建立基于贝叶斯网络的风险评估模型，并使用GeNIe软件进行计算，搜索相关数据，以印度新冠疫苗冷链物流为实证案例检验模型。研究结果表明：重大疫情下疫苗冷链物流存在风险敏感点，必须明确防控重点，制定针对性控制措施，如加强人员培训、合理规划路径及接种点位置、加大设施设备检查与更新等，研究结果可为实现疫苗冷链物流的高效安全运转提供参考。
Abstract:
In order to identify and deal with the risk in the cold chain process of vaccine under the major epidemic situation,an evaluation index system with the processing and packaging,storage,transportation,loading and unloading,and inoculation as the risk chain under the human-machine-environment-management in the Internet of Things (IOT) environment was studied.The risk factors of each link were overall analyzed,and 16 risk points affecting the quality and safety of vaccine cold chain were extracted.The risk evaluation index system was transformed into a Bayesian network structure according to the causality,then a risk assessment model based on Bayesian network was established,and the GeNIe software was used to calculate.Through collecting the relevant data,the model was tested by taking the cold chain logistics of Covid-19 vaccine in India as the empirical case.The results showed that the cold chain logistics of vaccine under the major epidemic situation had the risk sensitive points,and it was necessary to clarify the focuses of prevention and control and formulate the targeted control measures,such as strengthening the personnel training,planning the paths and inoculation point locations reasonably,and increasing the inspection and renewal of facilities and equipments.The results can provide reference for realizing the efficient and safe operation of the cold chain logistics of vaccine.

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备注/Memo

备注/Memo:
收稿日期： 2021-06-21
* 基金项目： 国家自然科学基金项目（72042008，72025402，71828102）；陕西省教育厅专项项目（18JK0487）；西安科技大学哲社繁荣计划项目（2018SY08）；哲学社会科学繁荣发展计划项目（20180014）；西安科技大学博士启动金项目（2017QDJ050）；陕西省社科基金应急管理项目（20YJ-19）
作者简介： 邸鸿喜，博士，讲师，主要研究方向为安全与应急管理、应急物流。
通信作者： 魏玖长，博士，教授，主要研究方向为风险分析与战略管理。
更新日期/Last Update: 2022-05-13