The drone logistics distribution method, with its small size, quick delivery, and
zero-touch, has progressively entered the mainstream of development due to the
global epidemic and the rapidly developing global emerging logistics business.
In our investigation, a drone and a delivery man worked together to complete the
delivery order to a customer’s home as quickly as possible. We realize the
combined delivery network between drones and delivery men and focus on the
connection and scheduling between drones and delivery men using existing
facilities such as ground airports, unmanned stations, delivery men, and drones.
Based on the dynamic-vehicle routing problem model, the establishment of a
delivery man and drone with a hybrid model, in order to solve the tarmac
unmanned aerial vehicle for take-out delivery scheduling difficulties, linking
to the delivery man and an adaptive large neighborhood search algorithm solves
the model. The objective function is to reduce customer waiting time. The
average delivery time for orders was subsequently shortened thanks to the
optimization of the cooperative delivery solution for drones and delivery
personnel.
