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基于韧性城市视角的突发事件下分布式应急手术调度研究

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针对城市突发事件下的应急手术问题,进行了基于韧性城市视角的分布式应急手术调度研究.首先,提出了韧性城市视角下同时考虑救援时间和患者恶化成本的调度目标;其次,结合应急手术中的疲劳阈值效应,截断学习效应和患者恶化成本等典型特点,以及救援医院的可重入层流手术特点,构建了分布式应急手术调度模型;然后,设计两阶段算法求解患者在医院间的分配,以及在医院内的手术排序与资源安排;最后,通过数值实验测试了四种启发式算法下带深度搜索策略的混合教与学优化算法(HTLBO-LS)的寻优性能,并通过仿真案例进一步探讨了不同算法的应用效果,以及在城市韧性视角下的医疗资源配置方案.研究结果为城市突发事件下分布式应急手术调度提供方法借鉴和决策参考.
Research on Distributed Emergency Operation Scheduling under Emergencies from the Perspective of Resilient City
In recent years,frequent natural disasters,safety accidents,public health and other emergencies often lead to a large number of sudden serious injuries or infections,which are in urgent need of surgical treat-ment,causing sudden and serious damage to urban resilience.However,the emergence of collaborative medi-cal network provides the basis for the joint rescue of several hospitals.In order to solve the problem of emergency surgery under urban emergencies,a distributed emergency surgery scheduling research based on the perspective of resilient city is proposed.Firstly,a scheduling objective considering both rescue time and patient deterioration cost from the perspective of resilient city is proposed.Secondly,combined with the typical characteristics of fatigue threshold effect,truncation learning effect and patient deterioration cost in emergency surgery,as well as the characteristics of reentrant laminar flow surgery in rescue hospitals,a distributed emergency surgery scheduling model is constructed.Thirdly,a two-stage algorithm is designed to solve the allocation of patients among hospitals,surgical sequencing and surgical resource allocation in hospitals.Finally,numerical experiments are carried out to test the optimization performance of Hybrid Teaching Learning Based Optimization with Local Search(HTLBO-LS)under four heuristic algorithms,and simulation cases are proposed to further discuss the application effects of different algorithms and the medical resource allocation scheme from the perspective of urban resilience.The research results provide method and decision-making refer-ence for distributed emergency operation scheduling under urban emergencies.For the first time,the characteristics of"distributed","reentrant"and"laminar flow"are considered simultaneously in this paper,which enriches the joint scheduling optimization model and algorithm of reentrant laminar flow surgery.From the perspective of urban resilience,it provides simulation design and decision support for the selection of medi-cal resource allocation mode.

resilient citiesdistributed surgical schedulingemergency surgerylaminar flow surgeryreentrantTLBO algorithm

黄丽、叶春明、郭鹏

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上海理工大学管理学院 上海 200093

攀枝花学院经济管理学院,四川 攀枝花 617000

西南交通大学机械工程学院 四川 成都 610031

韧性城市 分布式手术调度 应急手术 层流手术 可重入 TLBO算法

上海市哲学社会科学一般项目国家社会科学基金后期资助项目四川应急管理知识普及基地项目攀枝花市指导性科技计划项目中国攀西康养产业研究中心资助项目

2022BGL01022FGLB109SCYJ2022-082021ZD-G-13PXKY-ZD-202302

2024

10.16381/j.cnki.issn1003-207x.2022.0601

中国管理科学
中国优选法统筹法与经济数学研究会 中科院科技政策与管理科学研究所

中国管理科学

CSTPCDCSSCICHSSCD北大核心
影响因子：1.938
ISSN：1003-207X
年,卷(期)：2024.32(1)
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