Using drones in the last-mile logistics processes of medical product delivery

A feasibility case study in Rotterdam

Conference Paper (2020)
Author(s)

I. Zubin (TU Delft - Transport and Planning)

Bart van Arem (TU Delft - Transport and Planning)

Bart Wiegmans (TU Delft - Transport and Planning)

Ron van Duin (TU Delft - Transport and Logistics)

Research Group
Transport and Logistics
Copyright
© 2020 I. Zubin, B. van Arem, B. Wiegmans, Ron van Duin
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 I. Zubin, B. van Arem, B. Wiegmans, Ron van Duin
Research Group
Transport and Logistics
Pages (from-to)
1-17
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The term last-mile delivery refers to the final leg of a business-to-customer service, in which products are shipped from a depot to a destination point by means of land transportation, such as vans and small trucks. Although these vehicles provide a common and easy way to consign products, companies are striving for new transport technologies to reduce congestion, infrastructure limita
tions and air pollution. An alternative to road-bounded vehicles that has recently gained attention is the adoption of drones in parcel delivery. Drone applications range from military training, surveillance, path recognition and shipment of perishable products in emergency situations. Research on drones as delivery vehicles is still in its early stages, with some practical trials carried out by leader companies such as Google and Amazon. However, the application of drones in the pharmaceutical sector for home deliveries of medical products, has not been investigated yet. To gain new insights into the feasibility of introducing drones in the delivery fleet, drone applications were studied for the delivery operations of the pharmacy BENU ’t Slag, in Rotterdam. Two scenario alternatives were tested using the Vehicle Routing Problem formulation. A Large-scale Neighborhood Search lgorithm was implemented to solve the problem and derive the performance indicators associated with each scenario. Performances were then analyzed through a comparative analysis. When drones were introduced in the delivery fleet, indicators showed improvements in environmental aspects, service time and delivery costs, with a reduction of 9% in CO2 emissions, 12% in service
time and 5.6% in cost per item.

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