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A stochastic programming approach for floods emergency logistics

机译：洪水应急物流的一种随机规划方法

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This article presents a model to assist decision makers in the logistics of a flood emergency. The model attempts to optimize inventory levels for emergency supplies as well as vehicles' availability, in order to deliver enough supplies to satisfy demands with a given probability. A spatio-temporal stochastic process represents the flood occurrence. The model is approximately solved with sample average approximation. The article presents a method to quantify the impact of the various intervening logistics parameters. An example is provided and a sensitivity analysis is performed. The studied example shows large differences between the impacts of logistics parameters such as number of products, number of periods, inventory capacity and degree of demand fulfillment on the logistics cost and time. This methodology emerges as a valuable tool to help decision makers to allocate resources both before and after a flood occurs, with the aim of minimizing the undesirable effects of such events. (C) 2014 Elsevier Ltd. All rights reserved.
机译：本文提出了一个模型，可协助决策者应对洪水紧急情况。该模型试图优化应急物资的库存水平以及车辆的可用性，以便以给定的概率交付足够的物资以满足需求。时空随机过程代表洪水的发生。使用样本平均近似值近似求解模型。这篇文章提出了一种方法来量化各种中间物流参数的影响。提供一个示例并执行灵敏度分析。所研究的示例显示了物流参数（如产品数量，周期数，库存容量和需求满足程度）对物流成本和时间的影响之间存在很大差异。这种方法成为一种有用的工具，可以帮助决策者在洪灾发生之前和之后分配资源，以最大程度地减少此类事件的不良影响。 （C）2014 Elsevier Ltd.保留所有权利。

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