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首页> 外文期刊>Optimization Letters >Multi-criteria logistics modeling for military humanitarian assistance and disaster relief aerial delivery operations
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Multi-criteria logistics modeling for military humanitarian assistance and disaster relief aerial delivery operations

机译：军事人道主义援助和救灾空中交付业务的多标准后勤建模

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摘要

Given that it is not always feasible to reach an affected area via land or sea within the first week following a natural disaster, aerial delivery provides the primary means to rapidly supply the affected population. Further, it is often the case that high density delivery of humanitarian aid supplies are taken over by non-friendly groups within the affected population. By using direct airdrop systems to deliver large quantities of individually wrapped food and water items, dispersion among the affected disaster relief population will occur more quickly. In this paper, we proffer a multiple criteria decision analysis (MCDA) framework to optimize the military humanitarian assistance/disaster relief (HA/DR) aerial delivery supply chain network. The model uses stochastic, mixed-integer, weighted goal programming to optimize network design, logistics costs, staging locations, procurement amounts, and inventory levels. The MCDA framework enables decision-makers to explore the trade-offs between military HA/DR aerial delivery supply chain efficiency and responsiveness, while optimizing across a wide range of real-world, probabilistic scenarios to account for the inherent uncertainty in the location of global humanitarian disasters as well as the amount of demand to be met.
机译：鉴于在自然灾害发生后的第一周内通过陆路或海路到达受灾地区并非总是可行的，所以空中运输是迅速向受灾人口提供援助的主要手段。此外，通常情况下，受灾人口中的非友好团体接管了高密度的人道主义援助物资供应。通过使用直接空投系统来运送大量单独包装的食品和水，受影响的救灾人群之间的分散将更快地发生。在本文中，我们提供了一个多标准决策分析（MCDA）框架来优化军事人道主义援助/救灾（HA / DR）空中运输供应链网络。该模型使用随机，混合整数，加权目标编程来优化网络设计，物流成本，暂存位置，采购数量和库存水平。 MCDA框架使决策者能够探索军用HA / DR空中交付供应链效率与响应能力之间的取舍，同时在各种现实世界的概率场景中进行优化，以解决全球位置固有的不确定性人道主义灾难以及需要满足的需求量。

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