Abstract
The delivery of fresh agricultural products is a significant challenge due to their perishability. This paper addresses a real-life delivery of fresh agricultural products vehicle routing problem with drones (VRPD). The model takes into account the impact of perishability as part of the overall distribution costs and explores the feasibility of using drones for delivery. The model is constructed using mixed-integer linear programming optimization, to minimize the quality deterioration of agricultural products and the completion time for all customers. For a large number of customers, we proposed a heuristic approach by utilizing an improved Large Neighborhood Search algorithm with an adaptive repairing parameter. To validate the proposed algorithm, various datasets have been tested. The results demonstrate that the proposed algorithm reduces delivery times and the deterioration value of products significantly. Therefore, it provides an effective decision-making reference for logistics distribution enterprises.
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Vuong, Q.H., Phung, TN., Pham, MT. (2023). The Vehicle Routing Problem with Drones for Fresh Agricultural Products. In: Nghia, P.T., Thai, V.D., Thuy, N.T., Son, L.H., Huynh, VN. (eds) Advances in Information and Communication Technology. ICTA 2023. Lecture Notes in Networks and Systems, vol 847. Springer, Cham. https://doi.org/10.1007/978-3-031-49529-8_22
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DOI: https://doi.org/10.1007/978-3-031-49529-8_22
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