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Volume 14, Issue 1 (Spring 2024)                   Disaster Prev. Manag. Know. 2024, 14(1): 2-23 | Back to browse issues page


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Aghayani P, Nikbakhsh E. A Review of Resilience and Fairness Concepts and Modeling in Humanitarian Logistics Using a Meta-analysis Approach. Disaster Prev. Manag. Know. 2024; 14 (1) :2-23
URL: http://dpmk.ir/article-1-652-en.html
1- Department of Socio-Economic Systems Engineering, Faculty of Industrial and Systems Engineering, Tarbiat Modares University, Tehran, Iran.
Abstract:   (3954 Views)
Background and objective The world is facing with the increase in natural disasters, wars and terrorism. Proper logistic planning and timely delivery of relief items before and after disasters can save lives and property of affected people. This study aims to review the literature on the concepts of resilience and fairness and their modeling in humanitarian logistics. 
Method The data in this study are qualitative, collected from books and articles published from 2010 to 2023 and available in online databases such as Google Scholar and Scopus. Then, using the meta-analysis method, they were analyzed using Microsoft Excel software.
Results Fairness and resilience are challenging issues for emergency and relief organizations. Despite the practical importance of these two concepts in humanitarian logistics, limited attention has been paid to them in literature. Some research areas included simultaneous consideration of fairness and resilience, the use of indicators to create efficient resilience in the distribution of relief items and the adoption of risk-averse approaches to estimate uncertainty, such as robust optimization.
Conclusion This study highlights the importance of fairness and resilience and their measurement in humanitarian logistics. Despite their importance in humanitarian logistics, there are still research gap. Further studies can greatly contribute to improving the planning ability of emergency and relief organizations.
 
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Type of Study: case report | Subject: Special
Received: 2024/01/8 | Accepted: 2024/03/2 | ePublished: 2024/04/1

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