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Optimal Hub Selection for Rapid Medical Deliveries using Unmanned Aerial Vehicles with Consideration of Flight Dynamics

Jose Escribano Macias(jose.escribano-macias11***at***imperial.ac.uk)
Panagiotis Angeloudis(p.angeloudis***at***imperial.ac.uk)
WY Ochieng(w.ochieng***at***imperial.ac.uk)

Abstract: Unmanned Aerial Vehicles are being increasingly considered for deployment in emergencies to enhance humanitarian response operations. Beyond regulation, vehicle range and integration with the underlying humanitarian supply chains inhibit their deployment in practice. To address these technical issues, we present a novel bi-level approach consisting of a trajectory optimisation algorithm, and hub selection-routing algorithm. A new trajectory optimisation model is presented that considers UAV battery consumption at each stage of flight. Such trajectories are provided as inputs to a bi-level hub selection-routing optimisation model that seeks to determine the optimal location of supporting infrastructure in the distribution supply chain.

Keywords: UAV; Selection-routing problem; Trajectory optimisation; Humanitarian relief distribution; Heuristic

Category 1: Applications -- OR and Management Sciences (Production and Logistics )

Citation: Imperial College London, SW7 2BU. December 2017.

Download: [PDF]

Entry Submitted: 02/06/2018
Entry Accepted: 02/06/2018
Entry Last Modified: 02/06/2018

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