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Vehicle Routing Optimisation in Humanitarian Operations: A Survey on Modelling and Optimisation Approaches

1
Department of Logistics and Transportation, School of Technology Management and Logistics, Universiti Utara Malaysia, Sintok 06010, Kedah, Malaysia
2
Laboratory of Computational Statistics and Operations Research, Institute for Mathematical Research, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
3
Department of Mathematics, Faculty of Science, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia
4
Fakultät für Informatik, Universität der Bundeswehr München, 85577 Neubiberg, Germany
5
Nottingham University Business School, University of Nottingham Malaysia Campus, Jalan Broga, Semenyih 43500, Selangor, Malaysia
*
Author to whom correspondence should be addressed.
Appl. Sci. 2021, 11(2), 667; https://doi.org/10.3390/app11020667
Received: 31 October 2020 / Revised: 16 December 2020 / Accepted: 24 December 2020 / Published: 12 January 2021
(This article belongs to the Special Issue Intelligent Transportation Systems: Beyond Intelligent Vehicles)
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. View Full-Text
Keywords: humanitarian operations; logistics; disaster; vehicle routing; supply and delivery; evacuation; rescue humanitarian operations; logistics; disaster; vehicle routing; supply and delivery; evacuation; rescue
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MDPI and ACS Style

Anuar, W.K.; Lee, L.S.; Pickl, S.; Seow, H.-V. Vehicle Routing Optimisation in Humanitarian Operations: A Survey on Modelling and Optimisation Approaches. Appl. Sci. 2021, 11, 667. https://doi.org/10.3390/app11020667

AMA Style

Anuar WK, Lee LS, Pickl S, Seow H-V. Vehicle Routing Optimisation in Humanitarian Operations: A Survey on Modelling and Optimisation Approaches. Applied Sciences. 2021; 11(2):667. https://doi.org/10.3390/app11020667

Chicago/Turabian Style

Anuar, Wadi Khalid, Lai Soon Lee, Stefan Pickl, and Hsin-Vonn Seow. 2021. "Vehicle Routing Optimisation in Humanitarian Operations: A Survey on Modelling and Optimisation Approaches" Applied Sciences 11, no. 2: 667. https://doi.org/10.3390/app11020667

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