系统仿真学报 ›› 2022, Vol. 34 ›› Issue (10): 2303-2311.doi: 10.16182/j.issn1004731x.joss.21-0568

• 国民经济仿真 • 上一篇    

考虑供应商聚类的应急医疗物资协同配送仿真

王喆1,2(), 邵鸿远1,2, 丛子皓1,2, 马雯雯3()   

  1. 1.武汉理工大学 中国应急管理研究中心, 湖北 武汉 430070
    2.武汉理工大学 安全科学与应急管理学院, 湖北 武汉 430070
    3.华中科技大学 同济医学院附属同济医院, 湖北 武汉 430030
  • 收稿日期:2021-06-18 修回日期:2021-08-14 出版日期:2022-10-30 发布日期:2022-10-18
  • 通讯作者: 马雯雯 E-mail:philo_wang@163.com;287146776@qq.com
  • 作者简介:王喆(1980-),男,博士,副教授,硕士生导师,研究方向为应急决策、人工智能、应急物流等。E-mail:philo_wang@163.com
  • 基金资助:
    国家自然科学基金(71501151);教育部人文社会科学研究青年基金(20YJC630154);湖北省自然科学基金(2016CFB467);中央高校基本科研业务费专项资金(WUT:2020-VI-004)

Simulation of Emergency Medical Materials Collaborative Distribution Considering Supplier Clustering

Zhe Wang1,2(), Hongyuan Shao1,2, Zihao Cong1,2, Wenwen Ma3()   

  1. 1.China Research Center for Emergency Management, Wuhan University of Technology, Wuhan 430070, China
    2.School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China
    3.Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
  • Received:2021-06-18 Revised:2021-08-14 Online:2022-10-30 Published:2022-10-18
  • Contact: Wenwen Ma E-mail:philo_wang@163.com;287146776@qq.com

摘要:

针对突发公共卫生事件应急处置中存在的地方政府医疗物资储备不足、配送效率低下等问题,设计了一种考虑供应商聚类的两阶段应急医疗物资公私协同选址分配模型。在备灾时利用模糊聚类算法实现供应商聚类,并与政府建立合作机制以实现应急医疗物资联合储备;在救援初期依托政府和各类供应商的物资储备及运输能力,构建以最小化物流总成本与需求未满足率加权和为目标的选址分配仿真模型设计改进的非支配排序遗传算法对此两阶段模型进行求解。以新冠肺炎疫情中武汉市医疗物资调度设计仿真算例,并对比有无供应商聚类对模型的影响。仿真结果表明:该模型在协调政府和供应商的应急医疗物资储备、运输以及调度决策方面具有优势。

关键词: 突发公共卫生事件, 应急医疗物资, 选址-分配问题, 模糊聚类, 公私协同, 非支配排序遗传算法

Abstract:

Aiming at the insufficient local government medical material reserves and low distribution efficiency to public health emergencies, consider supplier clustering a two-stage emergency medical supplies public-private collaborative location and alloation model is designed. In for disaster preparedness, fuzzy clustering algorithm to realize supplier clustering, and a cooperation mechanism with the government is establish realize the joint storage of emergency medical supplies; In the early stage of rescue, relying on the government and various suppliers' material storage and transportation capabilities, a location allocation simulation model to minimize the weighted sum of total logistics cost and demand unsatisfied rate is constructed. An improved non-dominated sorting genetic algorithm is designed to solve this two-stage model. An example of the design of medical supplies scheduling in Wuhan during Covid-19 epidemic and the impact of supplier clustering on the model is compared. The simulation results show that the model has advantages in coordinating the emergency medical supplies reserve, transportation and scheduling decisions of the government and suppliers.

Key words: public health emergencies, emergency medical supplies, location allocation problem, fuzzy clustering, public private collaboration, non-dominated sorting genetic algorithm (NSGA-Ⅱ)

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