Vehicle routing optimisation in humanitarian operations: a survey on modelling and optimisation approaches
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 O...
| Main Authors: | , , , |
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| Format: | Article |
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MDPI
2021
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| Online Access: | http://psasir.upm.edu.my/id/eprint/93539/ |
| _version_ | 1848861865979936768 |
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| author | Anuar, Wadi Khalid Lee, Lai Soon Pickl, Stefan Seow, Hsin Vonn |
| author_facet | Anuar, Wadi Khalid Lee, Lai Soon Pickl, Stefan Seow, Hsin Vonn |
| author_sort | Anuar, Wadi Khalid |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T13:07:56Z |
| format | Article |
| id | upm-93539 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:07:56Z |
| publishDate | 2021 |
| publisher | MDPI |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-935392024-01-22T06:59:24Z http://psasir.upm.edu.my/id/eprint/93539/ Vehicle routing optimisation in humanitarian operations: a survey on modelling and optimisation approaches Anuar, Wadi Khalid Lee, Lai Soon Pickl, Stefan Seow, Hsin Vonn 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. MDPI 2021-01 Article PeerReviewed 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 https://www.mdpi.com/2076-3417/11/2 10.3390/app11020667 |
| spellingShingle | Anuar, Wadi Khalid Lee, Lai Soon Pickl, Stefan Seow, Hsin Vonn Vehicle routing optimisation in humanitarian operations: a survey on modelling and optimisation approaches |
| title | Vehicle routing optimisation in humanitarian operations: a survey on modelling and optimisation approaches |
| title_full | Vehicle routing optimisation in humanitarian operations: a survey on modelling and optimisation approaches |
| title_fullStr | Vehicle routing optimisation in humanitarian operations: a survey on modelling and optimisation approaches |
| title_full_unstemmed | Vehicle routing optimisation in humanitarian operations: a survey on modelling and optimisation approaches |
| title_short | Vehicle routing optimisation in humanitarian operations: a survey on modelling and optimisation approaches |
| title_sort | vehicle routing optimisation in humanitarian operations: a survey on modelling and optimisation approaches |
| url | http://psasir.upm.edu.my/id/eprint/93539/ http://psasir.upm.edu.my/id/eprint/93539/ http://psasir.upm.edu.my/id/eprint/93539/ |