首页|考虑患者转运的跨区域动态协同应急物流选址-分配优化研究

考虑患者转运的跨区域动态协同应急物流选址-分配优化研究

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
针对突发公共卫生事件下多个受灾地区之间跨区域应急资源配置的现实需求,研究考虑患者转运的跨区域动态协同应急物流选址-分配优化问题,构建跨区域的患者转运与应急资源协同配置两阶段优化决策模型.模型第1阶段优化确定患者动态变化与相应医院数量及其选址,第2阶段优化确定应急物资配送中心选址与应急物资分配.该优化模型同时考虑应急物流总成本(包括设施固定成本与运营成本)与转运时间2个优化目标,且考虑多周期动态变化的实际需求.针对上述优化模型特征,设计嵌入模型预测控制(MPC)方法的改进遗传算法.该算法将每个决策周期分为3个环节:1)疾病扩散预测环节,即每个周期开始时对疾病发展趋势进行预测;2)应急决策规划及实施环节,根据规划窗口的预测数据制定并实施应急选址-分配方案;3)数据更新与动态调整环节,即每个执行周期结束时,根据实际执行数据制定下一个周期决策.3个环节交互进行,相互迭代直到完成整个规划时期.最后,以贵州省跨区域的应急资源协同配置优化为例,验证所提优化模型及其求解算法的有效性.研究发现:与各区域独自应急相比,跨区域动态协同应急方案在转运时间没有明显增加的情况下,能有效降低应急成本,能够高效率地利用应急设施为感染患者提供救治.研究成果为突发公共卫生事件中多区域之间的协同应急资源配置优化提供决策支持.
Research on optimization of cross-regional dynamic cooperative emergency logistics location-allocation with patient transfer
Based on the actual needs of cross-regional emergency resource allocation among multiple disaster areas during public health emergencies,this paper investigated the location-allocation problem of cross-regional dynamic cooperative emergency logistics involving patient transfer.A two-stage optimal decision-making model was proposed,addressing the dynamic changes in patients and hospital location in the first stage and the location of emergency logistics centers and the distribution of emergency materials in the second stage.The proposed model considered two optimal objectives.The first optimal objective aimed to minimize the total cost of emergency logistics including fixed and operating costs of facilities,and the second one was to minimize the total transfer time while considering the actual demand for dynamic changes over multiple periods.Based on the characteristics of the multi-period dynamic problem,an improved genetic algorithm embedded model predictive control(MPC)method was designed to solve the cross-regional dynamic cooperative emergency logistics location-allocation problem.The above proposed algorithm included three important steps at each planning period,which is shown as follows.(1)Disease spread prediction.forecasting of the disease development trend at the beginning of each period,(2)Emergency decision-making planning and implementation,formulation and implementation of emergency logistics location-allocation schemes based on forecast data,and(3)Data updating and schemes dynamic adjustment,collection of relevant statistics at the end of the period to support decision planning for the next period.These three steps were iterated until the end of the last period.Finally,the effectiveness of the proposed optimization model and designed algorithm was demonstrated by a corresponding real-world case study on cross-regional emergency resource cooperative allocation in Guizhou Province.The findings indicate that compared to individual regional emergency responses,cross-regional dynamic cooperative emergency response can effectively reduce the total costs of emergency logistics without significantly increasing transport time,while efficiently configuring the emergency facilities to provide treatment for infected patients.This study provided a decision support tool for cooperative configuration and scheduling optimization of cross-regional emergency logistics resources.

emergency logisticscooperative emergencypatient transferemergency resourcelocation-allocationdynamic adjustmentcase study

龙圣杰、张得志、李双艳、李双琳

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中南大学 交通运输工程学院,湖南 长沙 410075

中南林业科技大学 物流与交通学院,湖南 长沙 410004

应急物流 协同应急 患者转运 应急资源 选址-分配 动态调整 案例研究

国家自然科学基金国家自然科学基金中南大学高端智库项目湖南省自然科学基金湖南省自然科学基金湖南省社会科学基金

71672193720740732021znzk082021JJ308572021JJ3116719YBA378

2024

10.19713/j.cnki.43-1423/u.T20230993

铁道科学与工程学报
中南大学 中国铁道学会

铁道科学与工程学报

CSTPCD北大核心EI
影响因子：0.837
ISSN：1672-7029
年,卷(期)：2024.21(4)
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