基于离散仿真的应急医疗服务多期再部署优化方法

IF 1.3 4区 工程技术 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Simulation-Transactions of the Society for Modeling and Simulation International Pub Date : 2022-12-09 DOI:10.1177/00375497221139870
Lina Aboueljinane, E. Sahin, Z. Jemai
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引用次数: 2

摘要

紧急医疗服务(EMS)管理人员不断努力提高覆盖绩效,即在特定目标时间内响应呼叫的百分比,以便在危及生命的紧急情况下挽救生命。这一目标可以通过根据需求模式、交通状况或当值队伍数量等时间或地理波动动态调整一天中救援队的位置来实现。这种重新部署被称为多期重新部署问题。在这项研究中,我们提出了一个基于离散仿真的优化模型来解决Val-de-Marne部门(法国)的法国EMS的多周期重新部署问题,命名为SAMU 94。该模型采用迭代法,将利用数学模型寻找救援队伍的最佳位置与利用Arena软件实现的SAMU 94仿真模型相结合,评估求解数学模型所需的忙分数参数。将该模型的性能与基于仿真的优化软件OptQuest进行了比较。实验结果表明,迭代方法可以获得更好的覆盖性能,比OptQuest快20倍。
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A discrete simulation-based optimization approach for multi-period redeployment in emergency medical services
Emergency Medical Service (EMS) managers continuously strive to improve the coverage performance, i.e., the percentage of calls responded to within a specific target time, to save lives in case of life-threatening emergencies. This goal can be achieved by dynamically adjusting the location of rescue teams during a day in response to some temporal or geographical fluctuations such as demand patterns, traffic conditions, or the number of teams on duty. This relocation is known as the multi-period redeployment problem. In this study, we propose a discrete simulation-based optimization model to adress the multi-period redeployment problem in the French EMS of the Val-de-Marne department (France), named SAMU 94. The proposed model uses an iterative method that combines the use of a mathematical model to find the optimal locations of rescue teams with the use of the SAMU 94 simulation model implemented in Arena software, to evaluate the busy fraction parameters required to solve the mathematical model. The model performance was compared with that of the simulation-based optimization software, OptQuest. The experimental results demonstrated that the iterative method could produce solutions with better coverage performance, 20 times faster than OptQuest.
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来源期刊
CiteScore
3.50
自引率
31.20%
发文量
60
审稿时长
3 months
期刊介绍: SIMULATION is a peer-reviewed journal, which covers subjects including the modelling and simulation of: computer networking and communications, high performance computers, real-time systems, mobile and intelligent agents, simulation software, and language design, system engineering and design, aerospace, traffic systems, microelectronics, robotics, mechatronics, and air traffic and chemistry, physics, biology, medicine, biomedicine, sociology, and cognition.
期刊最新文献
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