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Vehicle routing optimisation in humanitarian operations: a survey on modelling and optimisation approaches


Anuar, Wadi Khalid and Lee, Lai Soon and Pickl, Stefan and Seow, Hsin Vonn (2021) Vehicle routing optimisation in humanitarian operations: a survey on modelling and optimisation approaches. Applied Sciences, 11 (2). pp. 1-70. ISSN 2076-3417


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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Additional Metadata

Item Type: Article
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
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