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中国管理科学 ›› 2020, Vol. 28 ›› Issue (3): 11-20.doi: 10.16381/j.cnki.issn1003-207x.2020.03.002

• 论文 • 上一篇    下一篇

突发疫情环境下基于服务水平的应急物流网络优化设计

刘明1, 李颖祖1, 曹杰2, 章定3   

  1. 1. 南京理工大学经济管理学院, 江苏 南京 210094;
    2. 徐州工程学院管理工程学院, 江苏 徐州 221018;
    3. 纽约州立大学奥斯威戈分校商学院, NY13126 美国纽约
  • 收稿日期:2019-01-10 修回日期:2019-09-06 出版日期:2020-03-20 发布日期:2020-04-08
  • 通讯作者: 曹杰(1973-),男(汉族),安徽六安人,徐州工程学院管理工程学院,教授,博士生导师,研究方向:应急管理、系统决策,E-mail:cj@amss.ac.cn. E-mail:cj@amss.ac.cn
  • 基金资助:
    国家自然科学基金资助项目(71771120);国家社科基金资助重大项目(16ZDA054);教育部人文社科基金资助项目(17YJA630058);中央高效基本科研业务费专项资金资助项目(30920010019)

An Optimal Design of Emergency Logistics Network for Epidemic Controlling based on Service Level

LIU Ming1, LI Ying-zhu1, CAO Jie2, ZHANG Ding3   

  1. 1. School of Economics and Management, Nanjing University of Science and Technology, Nanjing 210094, China;
    2. School of Management Engineering, Xuzhou University of Technology, Xuzhou 221018, China;
    3. School of Business, State University of New York, Oswego, NY 13126, USA
  • Received:2019-01-10 Revised:2019-09-06 Online:2020-03-20 Published:2020-04-08

摘要: 针对突发疫情环境下的应急物流网络优化问题,本文定义了一类创新的应急服务水平函数,刻画了决策者对疫区应急物资需求满足程度与应急救援总成本控制之间的偏好侧重。在此基础上,进一步融合疫区的人口流动特性、不同疫区的人口密度特征、政府部门的二级环形预防策略以及应急配送的服务半径限制等现实因素,建立了基于服务水平的疫情应急物流网络优化模型。以江苏省甲型H1N1流感为背景进行算例测试,结果表明本文所设计的模型能够为疫情应急管理提供有效的政策建议和决策支持。

关键词: 突发疫情, 应急物流网络, 应急服务水平, 选址分配

Abstract: To optimize the emergency logistics network when facing an unexpected epidemic outbreak, an innovative definition of emergency service level is proposed in this paper. The new definition gives consideration to both the objectives of demand satisfaction in the infected areas and the total emergency operation cost. After that, an optimization model of emergency logistics network based on emergency service level is presented. The proposed model systematically integrates the real factors such as population flow among different affected areas, population density in different epidemic areas, the second-level circular prevention strategy in practice, and the service radius limitation of emergency distribution centers. The influenza A (H1N1) in Jiangsu Province is taken as our example. The test results demonstrate that the proposed model can provide effective policy recommendations and decision support for emergency management.

Key words: epidemic outbreak, emergency logistics network, emergency service level, location and allocation

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