设计有效的人道主义后勤场景集

Jorge Vargas-Florez, M. Lauras, Tina Comes
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引用次数: 0

摘要

在过去的几十年里,关于人道主义物流(HL)的文献已经开发了许多创新的决策支持系统,以支持诸如位置,路线,供应或库存管理等决策。这些贡献大多是基于定量模型的,但是,一般来说,没有信心的实践者不会使用。这可以通过以下事实来解释:与实际情况相比,用于设计和验证这些HL模型的场景和数据集通常过于简单。在本章中,开发了一种基于五步方法的基于场景的方法,通过设计一套有效的场景来评估遭受经常性灾害的地区的灾害需求,从而弥合这一差距。学者和实践者都可以使用的贡献表明,为反复发生的灾难定义这种有效的场景集是可能的。最后,以秘鲁经常性洪水和地震灾害为例,对该方案进行了验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing Valid Humanitarian Logistics Scenario Sets
Literature about humanitarian logistics (HL) has developed a lot of innovative decision support systems during the last decades to support decisions such as location, routing, supply, or inventory management. Most of those contributions are based on quantitative models but, generally, are not used by practitioners who are not confident with. This can be explained by the fact that scenarios and datasets used to design and validate those HL models are often too simple compared to the real situations. In this chapter, a scenario-based approach based on a five-step methodology has been developed to bridge this gap by designing a set of valid scenarios able to assess disaster needs in regions subject to recurrent disasters. The contribution, usable by both scholars and practitioners, demonstrates that defining such valid scenario sets is possible for recurrent disasters. Finally, the proposal is validated on a concrete application case based on Peruvian recurrent flood and earthquake disasters.
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