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Performance Evaluation of Tehran-Qom Highway Emergency Medical Service System Using Hypercube Queuing Model

机译:高速排队模型德黑兰 - QOM公路高速医疗服务系统的绩效评估

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This paper studies the ambulance deployment of the Tehran-Qom highway emergency medical service (EMS) system. The response time of EMS to an emergency call can have impact on the users in terms of the life and death, and this performance metric is evaluated using the proposed hypercube queuing model. The model is based on spatially distributed queuing theory and Markovian analysis approximations, and it is one of the most effective approaches for analyzing emergency response systems. In this research, performance measures of the EMS including workloads and mean response times are evaluated using the hypercube model. Modification to the existing system configuration is applied to improve the system performance. We also analyze the effects of small variation in the system inputs, such as user demands rates, to investigate the robustness of the outputs. The results demonstrate the effectiveness of the proposed model in supporting design and operational decisions, in particular in reducing the ambulances' workload imbalances as well as mean user response time.
机译:本文研究了德黑兰 - QOM公路高速医疗服务(EMS)系统的救护车部署。 EMS对紧急呼叫的响应时间可以在生命和死亡方面对用户产生影响,并且使用所提出的超级队列队列模型来评估这种性能度量。该模型基于空间分布的排队理论和马尔可夫分析近似,是分析应急响应系统的最有效的方法之一。在本研究中,使用HyperCube模型评估包括工作负荷和平均响应时间的EMS的性能测量。应用于对现有系统配置的修改以提高系统性能。我们还分析了系统输入中小变化的影响,例如用户需求率,以研究输出的稳健性。结果证明了所提出的模型在支持设计和操作决策方面的有效性,特别是在减少救护车的工作负载失衡以及平均用户响应时间。

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