Citation
Abstract
The growing field of humanitarian operations is driven by frequent events of disasters seen in the world today. Within this field, Operations Research (OR) plays a critical role in alleviating the suffering of victims that are impacted by disasters. This paper focuses on the branch of a well-known OR problem, known as the Vehicle Routing Problem (VRP), within the selected scope of humanitarian operations. A total of 123 papers of the last decade are reviewed and classified under the humanitarian operations of supply and delivery, evacuation as well as rescue operations. Besides specific disaster management phases and disaster types, various modelling challenges are highlighted, hinting towards a richer and more complex VRP seen under selected model characteristic classifications. Furthermore, established solution approaches, including hybrid solutions, are highlighted and classified, discussing how they are applied in the context of these humanitarian operations. The inclusion of a machine learning solution approach under the same classification is proposed. Finally, the trend and future outlook of VRP for the suggested humanitarian operations are discussed and highlighted.
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Official URL or Download Paper: https://www.mdpi.com/2076-3417/11/2
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Science Institute for Mathematical Research |
DOI Number: | https://doi.org/10.3390/app11020667 |
Publisher: | MDPI |
Keywords: | Disaster; Evacuation; Humanitarian operations; Logistics; Rescue; Supply and delivery; Vehicle routing |
Depositing User: | Mohamad Jefri Mohamed Fauzi |
Date Deposited: | 22 Jan 2024 06:59 |
Last Modified: | 22 Jan 2024 06:59 |
Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.3390/app11020667 |
URI: | http://psasir.upm.edu.my/id/eprint/93539 |
Statistic Details: | View Download Statistic |
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