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Vehicle routing problem for drone-based food delivery: a comparison of drone delivery with traditional delivery methods

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dc.contributor.author Charuka, R
dc.contributor.author Thibbotuwawa, A
dc.contributor.author Fernando, M
dc.contributor.editor Gunaruwan, TL
dc.date.accessioned 2023-10-18T06:38:32Z
dc.date.available 2023-10-18T06:38:32Z
dc.date.issued 2023-08-26
dc.identifier.citation ** en_US
dc.identifier.uri http://dl.lib.uom.lk/handle/123/21611
dc.description.abstract This research proposes vehicle routing problem (VRP) models for food delivery using motorbikes and drones, with the aim of minimizing the total delivery time and distance. Payload capacity, maximum flying time, and the maximum time permitted per drone are considered constraints for drone delivery. Real-world instances were tested and, the implementation of VRP for both motorbike and drone deliveries resulted in substantial reductions in delivery time and distance compared to the traditional method of motorbike deliveries, where food orders were delivered randomly without any planned routing. en_US
dc.language.iso en en_US
dc.publisher Sri Lanka Society of Transport and Logistics en_US
dc.relation.uri https://slstl.lk/r4tli-2023/ en_US
dc.subject Vehicle routing problem en_US
dc.subject Food delivery en_US
dc.subject Drones en_US
dc.subject Optimization en_US
dc.title Vehicle routing problem for drone-based food delivery: a comparison of drone delivery with traditional delivery methods en_US
dc.type Conference-Full-text en_US
dc.identifier.faculty Engineering en_US
dc.identifier.department Department of Transport and Logistics Management en_US
dc.identifier.year 2023 en_US
dc.identifier.conference Research for Transport and Logistics Industry Proceedings of the 8th International Conference en_US
dc.identifier.place Moratuwa, Sri Lanka en_US
dc.identifier.pgnos pp. 73-75 en_US
dc.identifier.proceeding Proceedings of the International Conference on Research for Transport and Logistics Industry en_US
dc.identifier.email rumeshcharuka.rc@gmail.com en_US
dc.identifier.email amilat@uom.lk en_US
dc.identifier.email madushanfernando69@gmail.com en_US


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