Routing problems are used in many areas to obtain the most appropriate results in terms of time and cost. An attempt is made to address the issue by formulating mathematical models that incorporate multiple variables such as capacity, time, cost, and demand, tailored to the specific area of application. Natural disasters are one of these applications. In natural disasters, especially time management is a critical issue. For this reason, routing models play a crucial role in delivering aid to disaster victims and transporting disaster victims to hospitals. In this study, a mathematical model is proposed to be applied in post-disaster humanitarian aid logistics. The model, which aims to minimize the total distribution time, also considers the distribution of perishable commodities. Drones are integrated into this operational framework to facilitate the dissemination of perishable commodities. Thus, a new mathematical model for the multi-depot vehicle routing problem, which includes both truck-drone collaboration and perishable commodities, has been introduced to the literature. The proposed model is solved with an illustrative example using GAMS/CPLEX software and the results are tested.
Drone-Truck Collaboration Humanitarian Logistic Multi-Depot Vehicle Routing Problem Perishable Commodities
Primary Language | English |
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Subjects | Industrial Engineering |
Journal Section | Research Articles |
Authors | |
Publication Date | July 29, 2024 |
Submission Date | December 23, 2023 |
Acceptance Date | July 21, 2024 |
Published in Issue | Year 2024 Volume: 3 Issue: 1 |