管理评论

管理评论 ›› 2023, Vol. 35 ›› Issue (3): 295-305.

• 风险与应急管理 • 上一篇    下一篇

大型体育赛事突发事件应急医学救援资源调度优化研究

刘亮1,2, 刘晓东3, 高天4, 林绵端4, 郝昱文5   

  1. 1. 中国科学院大学经济与管理学院, 北京 100049;
    2. 中国人民解放军总医院第一医学中心, 北京 100853;
    3. 数普金通数据技术有限公司, 北京 100097;
    4. 北京理工大学自动化学院, 北京 100081;
    5. 中国人民解放军总医院医学创新研究部灾害医学研究中心, 北京 100853
  • 收稿日期:2021-11-29 出版日期:2023-03-28 发布日期:2023-04-28
  • 通讯作者: 刘亮（通讯作者），中国科学院大学经济与管理学院博士研究生，中国人民解放军总医院第一医学中心主任。
  • 作者简介:刘晓东，数普金通数据技术有限公司董事长，硕士；高天，北京理工大学自动化学院硕士研究生；林绵端，北京理工大学自动化学院硕士研究生；郝昱文，中国人民解放军总医院医学创新研究部灾害医学研究中心副主任，硕士。
  • 基金资助:
    国家重点研发计划“科技冬奥”重点专项2019年定向项目（2019YFF0302302）。

Research on the Optimization of Emergency Medical Rescue Resource Scheduling in Large-scale Sports Events

Liu Liang1,2, Liu Xiaodong3, Gao Tian4, Lin Mianduan4, Hao Yuwen5   

  1. 1. School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100049;
    2. The General Hospital of the People's Liberation Army, Beijing 100853;
    3. Centrin-FC Data Devieces Technology Co., Ltd., Beijing 100097;
    4. School of Automation, Beijing Institute of Technology, Beijing 100081;
    5. Disaster Medicine Research Center, Medical Innovation Research Department, The General Hospital of the People's Liberation Army, Beijing 100853
  • Received:2021-11-29 Online:2023-03-28 Published:2023-04-28

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摘要： 针对大型体育赛事突发事件应急医学救援资源调度模型的不足，本文提出一种区别应急医学救援不同阶段、根据检伤分类结果转运后送伤员的“分阶段分类转运”应急医学救援资源调度多目标优化模型。该模型将救援过程归纳为现场救治和转运后送两个阶段，进一步细分了伤员伤情且考虑了志愿者救援力量。本文以整数规划为基础，使用epsilon约束法结合线性加权法实现模型多目标求解。基于北京2022年冬奥会三个赛区的假设算例验证该模型，所有伤员得到成功救治，求解结果具有合理性。

关键词: 大型体育赛事, 突发事件, 应急医学救援, 整数规划, epsilon约束法

Abstract: There are deficiencies in the resource scheduling model of emergency medical rescue in large-scale sports events. In this paper, a multi-objective optimization model is proposed with “phased classified transportation” emergency medical rescue resource scheduling. It is applied to reasonably dispatch emergency medical resources and transport and evacuate the wounded according to the classification results of examination and injury. Combined with the theory of emergency medicine, the proposed model summarizes the rescue process into two stages: on-site treatment and transport evacuation, further subdivides the injury of the wounded and includes the volunteer rescue force. Based on mixed integer programming, epsilon constraint method combined with linear weighted method is used to realize the multi-objective solution of the model. The hypothetical examples of three competition areas of Beijing 2022 Winter Olympic Games are used to verify the model. All the wounded are successfully treated and the solution results are reasonable.

Key words: large-scale sports events, emergencies, emergency medical rescue, mixed integer planning, epsilon constraint method