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一线救治伤员后送资源配置策略研究
引用本文:邵辉,黄朝晖.一线救治伤员后送资源配置策略研究[J].运筹与管理,2022,31(3):127-131.
作者姓名:邵辉  黄朝晖
作者单位:1.陆军军医大学 陆军卫勤训练基地卫生勤务学教研室,重庆 沙坪坝 400038;2.海警医院卫勤处,浙江 嘉兴 314000
基金项目:军事类研究生资助课题资助(JY2019B106,JY2018B081)
摘    要:参考国内外历史案例和数据,构建战场伤员产生的仿真模型。基于该模型,利用综合评价、资源配置优化算法,研究探讨连抢救组及营救护站的救治、后送运力配置及路径规划策略。利用假设战例验证模型,基于减员预计模型计算减员情况,分析了相应的营、连救治策略。结果验证一线伤员收拢后送运力配置及路径优化模型可靠,可为一线救治信息化、自动化、智能化发展提供技术支撑。本研究为一线伤员救治、收拢、后送力量配置及路径规划提供理论方法。

关 键 词:一线救治  K-means聚类  TOPSIS评价  资源配置  
收稿时间:2019-12-23

Tactics for Casualties' Evacuation in Battlefield Rescue
SHAO Hui,HUANG Zhao-hui.Tactics for Casualties' Evacuation in Battlefield Rescue[J].Operations Research and Management Science,2022,31(3):127-131.
Authors:SHAO Hui  HUANG Zhao-hui
Institution:1. Army Medical University, Shapingba Chongqing 400038, China;2. General Hospital of Armed Police and Marine Police, Jiaxing 314000, China
Abstract:According to cases and reports about battlefield casualty estimating, simulation model in generating casualties is built, based on which, the tactics for the rescue and evacuation of the even and the camp are analyzed. The model is verified by hypothetical data and provided, and the project of battlefield rescue is analyzed. The model of casualties'evacuation in battlefield rescue is proved reliable. It will support the development of firewire rescue toward computerization automation and intellectualization. This research provides theoretical method reference for casualties' evacuation in battlefield rescue in collection and vehicle allocation.
Keywords:firewire rescue  K-means cluster  TOPSIS theory  resource allocation  
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