Application of maximum coverage capacitated facility location problem with range constrained drones: A pilot study

Logistics and cargo companies have been seeking ways and methods to minimize delivery times. Drones are used as a contemporary solution for these issues. Many of the most recent studies show methods and applications of the Drone delivery system in the Last Mile Delivery. In this thesis a real-world case of integrating Amazon's Prime Air drones into the Turkish National Postal Service (PTT) delivery system in Ankara Province will be presented and solved to explore the efficiency of deploying drones to the last mile delivery for Light Cargo Delivering System. Deciding on the depot location and number of drones needed for maximum coverage, as well as assigning drones and demands to depots, all will be accomplished by applying the Maximum Coverage Facility Location Problem with Drones (MCFLPD) model. The application of the model will provide a drone delivery system with maximum demand coverage and minimum time of service to all customers. Lastly, a comparison with truck delivery system using Traveling Salesman Problem (TSP) is presented for the evaluation.