María Fernanda Carnero Quispe, Amanda Silveira Couto, Irineu de Brito Junior, Luiza Ribeiro Alves Cunha, Regiane Máximo Siqueira, H. Yoshizaki
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引用次数: 0
摘要
背景:古往今来,灾害给全世界带来了苦难。不同类型的灾害事件会以不同的方式表现出来,它们源于自然现象、人类行为及其相互关联的相互作用。近年来,负责灾害管理的组织在人道主义后勤方面面临着一系列挑战,导致人们越来越多地考虑使用优先排序模型,其中大多数是多标准模型,以确定最佳替代方案,从而做出更果断、更具战略性的决策。方法:本文旨在对人道主义物流中优先排序模型应用的文献进行系统回顾。为此,对 Scopus 或 Web of Science 数据库收录的 40 篇文章进行了分析。结果显示描述性分析表明,大多数应用旨在应对突发的自然灾害。然而,在相关领域仍存在差距,如在战术决策层面解决库存管理问题。结论优先级模型的开发需要整合各种方法,将优化模型与多标准决策分析相结合,以产生更优的结果。建议结合四个不同的标准--效率、效果、公平和可持续性,以确保对决策过程进行全面评估。
Humanitarian Logistics Prioritization Models: A Systematic Literature Review
Background: Disasters have caused suffering across the world throughout history. Different types of disaster events can manifest themselves in different ways, originating from natural phenomena, human actions and their interconnected interactions. In recent years, organizations in charge of disaster management have faced a series of challenges in humanitarian logistics, leading to an increasing consideration of the use of models of prioritization, in most multi-criteria models, to define the best alternatives for more assertive and strategic decision-making. Methods: This article aims to conduct a systematic review of the literature on the application of prioritization models in humanitarian logistics. To this end, an analysis was carried out of 40 articles, indexed in the Scopus or Web of Science databases. Results: The descriptive analysis revealed that the majority of applications are aimed at dealing with sudden-onset natural-induced disasters. However, there are still gaps in relevant areas, such as addressing inventory management problems at a tactical decision level. Conclusions: The development of prioritization models necessitates the integration of various methodologies, combining optimization models with multi-criteria decision analysis to yield superior outcomes. It is advised to incorporate four distinct criteria—efficiency, effectiveness, equity, and sustainability—to ensure a comprehensive assessment of the decision-making process.