A procedure to support the distribution of drinking water for victims of drought: the case of the Brazilian semi-arid region

Vieira, Yesus Emmanuel Medeiros; Bandeira, Renata Albergaria de Mello; Lopes, Luiz Antônio Silveira; Júnior, Orivalde S. Silva; Júnior, Marcílio M. Batista

doi:10.1016/j.trpro.2020.03.106

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…More recently, ref. [62], in their work, addressed a drought scenario. A Multi-Depot VRP (MDVRP) is considered to reflect multiple water sources where water is to be delivered to nodes with demands.…”

Section: Heuristics and Local Search In Supply And Delivery Vrpsmentioning

confidence: 99%

“…In order to solve the problem, ref. [62] first allocated each vehicle a water source with a set of their unique demand points. Subsequently, the Clarke and Wright algorithm with 2-Opt moves is applied to solve the CVRP with single depot for each vehicle.…”

Section: Heuristics and Local Search In Supply And Delivery Vrpsmentioning

confidence: 99%

“…Ref. [62] addressed the delivery process during drought, which is uncommon in the literature, with [72] addressing the blood donation problem. Meanwhile, a unique consideration is taken in [94], which addressed the possibility of an attack from desperate victims by constraining the delivery operation only via convoy.…”

Section: Current Trendsmentioning

confidence: 99%

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

et al. 2021

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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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Section: Heuristics and Local Search In Supply And Delivery Vrpsmentioning

confidence: 99%

Section: Heuristics and Local Search In Supply And Delivery Vrpsmentioning

confidence: 99%