Risk-averse flexible policy on ambulance allocation in humanitarian operations under uncertainty
Risk-averse flexible policy on ambulance allocation in humanitarian operations under uncertainty
复制标题
不确定性下人道主义行动中救护车分配的风险规避灵活政策
DOI：
10.1080/00207543.2020.1735663
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发表时间：
2020-03
影响因子：
9.2
通讯作者：
Sun Huiping
中科院分区：
文献类型：
--
作者：
Yu Guodong;Liu Aijun;Sun Huiping
主动救护车管理对于提高不确定情况下紧急医疗服务（EMS）系统的响应效率具有建设性。在本文中，我们提出了有关救护车调度和搬迁的动态优化模型。我们制定了以间隔滚动为驱动的灵活运营策略，以批量匹配车辆和呼叫。我们在马尔可夫决策过程中制定问题并合并队列以最小化平均响应和延迟时间。考虑到维数灾难，我们提供了一种基于模拟的经验动态规划，具有状态聚合和决策后状态来求解模型。为了进一步加快计算效率，引入贪婪启发式方法来提高采样操作的质量。然后，基于随机优势策略开发了风险规避模型，以提高运行可靠性。我们开发了一个等效的线性规划来评估凹主导函数。我们通过数值案例测试性能，并为从业者提取管理见解。我们的结果表明，所提出的灵活且规避风险的解决方案在减少不确定呼叫下的延迟方面优于经典模型。当实时需求超过可用救护车时，这种改进在高峰时段更为活跃。
Proactive ambulance management is constructive to improve the response efficiency for emergency medical service (EMS) systems under uncertainty. In this paper, we present a dynamic optimisation model concerning the ambulance dispatching and relocation. We develop a flexible operation policy driven by the interval rolling to match vehicles with calls in batch. We formulate the problem in Markov Decision Process and incorporate queues to minimise the average response and delay time. Considering the curse-of-dimensionality, we provide a simulation-based empirical dynamic programming with the state aggregation and post-decision state to solve the model. To further accelerate the computational efficiency, a greedy heuristic method is introduced to improve the quality of sampling operations. Then, a risk-averse model is developed based on the stochastic dominance strategy to improve operational reliability. We develop an equivalent linear programming to evaluate concave dominating functions. We test the performance by a numerical case and extract managerial insights for practitioners. Our results show that the proposed flexible and risk-averse solution outperforms the classic model on reducing the delay under uncertain calls. And the improvement is more active during peak hours, when real-time needs exceed available ambulances.
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影响因子：
2.7
作者：
Javiera Barrera;Tito Homem-de-Mello;E. Moreno;B. Pagnoncelli;Gianpiero Canessa
通讯作者：
Javiera Barrera;Tito Homem-de-Mello;E. Moreno;B. Pagnoncelli;Gianpiero Canessa
DOI：
10.1287/moor.1060.0188
发表时间：
2006-02
期刊：
Math. Oper. Res.
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通讯作者：
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DOI：
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1995-02
期刊：
Oper. Res.
影响因子：
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通讯作者：
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影响因子：
1.7
作者：
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通讯作者：
K. Doerner;W. Gutjahr;R. Hartl;M. Karall;M. Reimann;Bruenner Strasse
DOI：
10.1080/19488300.2012.762437
发表时间：
2013-01
期刊：
IIE Transactions on Healthcare Systems Engineering
影响因子：
--
作者：
M. Mayorga;D. Bandara;L. McLay
通讯作者：
M. Mayorga;D. Bandara;L. McLay