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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...

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Published in:Logistics 2024-06, Vol.8 (2), p.60
Main Authors: Carnero Quispe, María Fernanda, Couto, Amanda Silveira, de Brito Junior, Irineu, Cunha, Luiza Ribeiro Alves, Siqueira, Regiane Máximo, Yoshizaki, Hugo Tsugunobu Yoshida
Format: Article
Language:English
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Summary: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.
ISSN:2305-6290
2305-6290
DOI:10.3390/logistics8020060