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- W2973485708 abstract "Truck-drone delivery systems have the potential to improve howthe logistics industry approaches the “last mile problem”. For the purposes ofthis study, the “last mile” refers to the portion of the journey between thelast transportation hub and the individual customer that will consume the product.Drones can deliver packages directly, without the need for an underlyingtransportation network but are limited by their range and payload capacity. Studieshave developed multiple truck-drone configurations, each with differentapproaches to leverage the benefits and mitigate the limitations of drones.Existing research has also established the drone’s reduction to packagedelivery time over the traditional truck only model. Two key model factors thathave not been considered in previous research are the distribution of packagedemand, and the distribution of package weight. This study analyzes the drone’simpact to the energy efficiency of a package delivery system, which has taken abackseat to minimizing delivery time. Demand distribution dictates the traveldistances required for package delivery, as well as the proportion of deliverylocations that are in range for drone delivery. Package weight determines theenergy consumption of a delivery and further restricts the proportion of droneeligible packages. The major contributions of this study are the development ofa truck-drone tandem mathematical model which minimizes energy consumption, theconstruction of a population-based package demand distribution, a realistic packageweight distribution, and a genetic algorithm used to solve the mathematicalmodel developed for problems that are too computationally expensive to besolved optimally using an exact method. Results show that drones can only havea significant impact to energy efficiency in package delivery systems ifimplemented under the right conditions. Using truck-drone tandem systems in areaswith lower package demand density affords the drone the potential for largerenergy savings as larger portions of the truck distance can be replaced.Further, the lower density translates to greater differences between theroad-restricted driving distance and the flying distance between delivery points.Finally, energy savings are highly dependent on the underlying package weightdistribution of the system. A heavier average package weight increases theenergy consumption of the system, but more importantly the portion of packagesabove the drone’s payload capacity severely limit the savings afforded by theincorporation of drones." @default.
- W2973485708 created "2019-09-26" @default.
- W2973485708 creator A5037273966 @default.
- W2973485708 date "2019-06-10" @default.
- W2973485708 modified "2023-09-23" @default.
- W2973485708 title "Analysis of Energy Efficiency in Truck-Drone “Last Mile” Delivery Systems" @default.
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- W2973485708 doi "https://doi.org/10.25394/pgs.8028974.v1" @default.
- W2973485708 hasPublicationYear "2019" @default.
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