Pre-positioning of emergency supplies for disaster response

Pre-positioning of emergency supplies for disaster response
复制标题

DOI:
10.1016/j.trb.2009.08.003
复制
发表时间:
2010-05-01
影响因子:
6.8
通讯作者:
Turnquist, Mark A.
Turnquist, Mark A.
中科院分区:
工程技术1区
文献类型:
--
作者:
Rawls, Carmen G.;Turnquist, Mark A.

文献摘要

被引文献

相似文献

预先部署应急物资是加强防备自然灾害的一个机制。本研究的目标是开发一种应急响应规划工具,该工具可以在不确定是否或在何处发生自然灾害的情况下,确定要预先定位的各种应急物资的位置和数量。本文提出了一个两阶段的随机混合整数规划(SMIP),提供了一个应急响应预先定位策略,飓风或其他灾害的威胁。SMIP是一个稳健的模型,它考虑了库存供应需求的不确定性以及事件发生后运输网络可用性的不确定性。由于该问题的计算复杂性,开发了一种启发式算法,称为拉格朗日L形方法(LLSM),以解决大规模的问题。以美国墨西哥湾沿岸地区的飓风威胁为例说明了该模型的应用。(C)2009爱思唯尔有限公司保留所有权利。
Pre-positioning of emergency supplies is one mechanism of increasing preparedness for natural disasters. The goal of this research is to develop an emergency response planning tool that determines the location and quantities of various types of emergency supplies to be pre-positioned, under uncertainty about if, or where, a natural disaster will occur. The paper presents a two-stage stochastic mixed integer program (SMIP) that provides an emergency response pre-positioning strategy for hurricanes or other disaster threats. The SMIP is a robust model that considers uncertainty in demand for the stocked supplies as well as uncertainty regarding transportation network availability after an event. Due to the computational complexity of the problem, a heuristic algorithm referred to as the Lagrangian L-shaped method (LLSM) is developed to solve large-scale instances of the problem. A case study focused on hurricane threat in the Gulf Coast area of the US illustrates application of the model. (C) 2009 Elsevier Ltd. All rights reserved.