Stochastic optimization of medical supply location and distribution in disaster management
Stochastic optimization of medical supply location and distribution in disaster management
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DOI：
10.1016/j.ijpe.2009.10.004
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发表时间：
2010-07-01
影响因子：
12
通讯作者：
Zabinsky, Zelda B.
中科院分区：
文献类型：
--
作者：
Mete, Huseyin Onur;Zabinsky, Zelda B.
我们提出了一种随机优化方法的存储和分配问题的医疗用品用于灾害管理下的各种可能的灾害类型和规模。在灾害准备中，我们开发了一个随机规划模型来选择医疗用品的存储位置和每种类型的医疗用品所需的库存水平。我们的模型通过使用灾害情景捕捉灾害的具体信息和灾害可能造成的影响。因此，尽管灾害事件存在不确定性，我们仍在备灾和风险之间取得平衡。这种方法的一个好处是，子问题可以用来建议装载和路由的车辆运输医疗用品的救灾，鉴于最新的灾害现场信息的评估。我们提出了一个案例研究，我们的随机优化方法的灾害规划的地震场景在西雅图地区。我们的建模方法可以帮助跨学科机构通过以有效的方式考虑风险来准备和应对灾害。(C)2009爱思唯尔有限公司版权所有。
We propose a stochastic optimization approach for the storage and distribution problem of medical supplies to be used for disaster management under a wide variety of possible disaster types and magnitudes. In preparation for disasters, we develop a stochastic programming model to select the storage locations of medical supplies and required inventory levels for each type of medical supply. Our model captures the disaster specific information and possible effects of disasters through the use of disaster scenarios. Thus, we balance the preparedness and risk despite the uncertainties of disaster events. A benefit of this approach is that the subproblem can be used to suggest loading and routing of vehicles to transport medical supplies for disaster response, given the evaluation of up-to-date disaster field information. We present a case study of our stochastic optimization approach for disaster planning for earthquake scenarios in the Seattle area. Our modeling approach can aid interdisciplinary agencies to both prepare and respond to disasters by considering the risk in an efficient manner. (C) 2009 Elsevier B.V. All rights reserved.