A systematic survey of multicriteria models in humanitarian logistics

Alturki, Ibrahim; Lee, Seokcheon

doi:10.1016/j.ijdrr.2023.104209

Cited by 2 publications

(1 citation statement)

References 93 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Implementing prioritization models in humanitarian logistics presents practical challenges. One notable issue is the discord between the criteria favored by the academic community and the preferences and priorities of field practitioners [14]. Additionally, addressing the complexity of post-disaster situations, where support systems are impacted and dynamically changing, is essential [7].…”

Section: Introductionmentioning

confidence: 99%

Humanitarian Logistics Prioritization Models: A Systematic Literature Review

Carnero Quispe,

Couto,

de Brito Junior

et al. 2024

Logistics

View full text Add to dashboard Cite

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.

show abstract

Section: Introductionmentioning

confidence: 99%