Mathematical investigation on the sustainability of UAV logistics

Joonyup Eun, Byung Duk Song, Sangbok Lee, Dae Eun Lim

Research output: Contribution to journalArticle

Abstract

Unmanned aerial vehicles (UAVs) are expected to make groundbreaking changes in the logistics industry. Leading logistics companies have been developing and testing their usage of UAVs recently as an environmentally friendly and cost-effective option. In this paper, we investigate how much the UAV delivery service is environmentally friendly compared to the traditional ground vehicle (GV) delivery service. Since there are fuel (battery) and loadable weight restrictions in the UAV delivery, multi-hopping of UAV is necessary, which may cause a large consumption of electrical energy. We present a two-phase approach. In Phase I, a new vehicle routing model to obtain optimal delivery schedules for both UAV-alone and GV-alone delivery systems is proposed, which considers each system's restrictions, such as the max loadable weight and fuel replenishment. In Phase II, CO2 emissions are computed as a sustainability measure based on the travelling distance of the optimal route obtained from Phase I, along with various GV travel-speeds. A case study finds that the UAV-alone delivery system is much more CO2 efficient in all ranges of the GV speeds investigated.

Original languageEnglish
Article number5932
JournalSustainability (Switzerland)
Volume11
Issue number21
DOIs
Publication statusPublished - 2019 Nov 1

Fingerprint

Unmanned aerial vehicles (UAV)
Logistics
Sustainable development
logistics
sustainability
Ground vehicles
travel
energy
cause
industry
Vehicle routing
costs
vehicle
Industry
routing
Testing
Costs

Keywords

  • Green vehicle routing
  • Sustainability of unmanned aerial vehicles
  • Unmanned aerial vehicle logistics

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Management, Monitoring, Policy and Law

Cite this

Mathematical investigation on the sustainability of UAV logistics. / Eun, Joonyup; Song, Byung Duk; Lee, Sangbok; Lim, Dae Eun.

In: Sustainability (Switzerland), Vol. 11, No. 21, 5932, 01.11.2019.

Research output: Contribution to journalArticle

Eun, Joonyup ; Song, Byung Duk ; Lee, Sangbok ; Lim, Dae Eun. / Mathematical investigation on the sustainability of UAV logistics. In: Sustainability (Switzerland). 2019 ; Vol. 11, No. 21.
@article{852c09ec64494ac2876e059ddf7e24c7,
title = "Mathematical investigation on the sustainability of UAV logistics",
abstract = "Unmanned aerial vehicles (UAVs) are expected to make groundbreaking changes in the logistics industry. Leading logistics companies have been developing and testing their usage of UAVs recently as an environmentally friendly and cost-effective option. In this paper, we investigate how much the UAV delivery service is environmentally friendly compared to the traditional ground vehicle (GV) delivery service. Since there are fuel (battery) and loadable weight restrictions in the UAV delivery, multi-hopping of UAV is necessary, which may cause a large consumption of electrical energy. We present a two-phase approach. In Phase I, a new vehicle routing model to obtain optimal delivery schedules for both UAV-alone and GV-alone delivery systems is proposed, which considers each system's restrictions, such as the max loadable weight and fuel replenishment. In Phase II, CO2 emissions are computed as a sustainability measure based on the travelling distance of the optimal route obtained from Phase I, along with various GV travel-speeds. A case study finds that the UAV-alone delivery system is much more CO2 efficient in all ranges of the GV speeds investigated.",
keywords = "Green vehicle routing, Sustainability of unmanned aerial vehicles, Unmanned aerial vehicle logistics",
author = "Joonyup Eun and Song, {Byung Duk} and Sangbok Lee and Lim, {Dae Eun}",
year = "2019",
month = "11",
day = "1",
doi = "10.3390/su11215932",
language = "English",
volume = "11",
journal = "Sustainability",
issn = "2071-1050",
publisher = "MDPI AG",
number = "21",

}

TY - JOUR

T1 - Mathematical investigation on the sustainability of UAV logistics

AU - Eun, Joonyup

AU - Song, Byung Duk

AU - Lee, Sangbok

AU - Lim, Dae Eun

PY - 2019/11/1

Y1 - 2019/11/1

N2 - Unmanned aerial vehicles (UAVs) are expected to make groundbreaking changes in the logistics industry. Leading logistics companies have been developing and testing their usage of UAVs recently as an environmentally friendly and cost-effective option. In this paper, we investigate how much the UAV delivery service is environmentally friendly compared to the traditional ground vehicle (GV) delivery service. Since there are fuel (battery) and loadable weight restrictions in the UAV delivery, multi-hopping of UAV is necessary, which may cause a large consumption of electrical energy. We present a two-phase approach. In Phase I, a new vehicle routing model to obtain optimal delivery schedules for both UAV-alone and GV-alone delivery systems is proposed, which considers each system's restrictions, such as the max loadable weight and fuel replenishment. In Phase II, CO2 emissions are computed as a sustainability measure based on the travelling distance of the optimal route obtained from Phase I, along with various GV travel-speeds. A case study finds that the UAV-alone delivery system is much more CO2 efficient in all ranges of the GV speeds investigated.

AB - Unmanned aerial vehicles (UAVs) are expected to make groundbreaking changes in the logistics industry. Leading logistics companies have been developing and testing their usage of UAVs recently as an environmentally friendly and cost-effective option. In this paper, we investigate how much the UAV delivery service is environmentally friendly compared to the traditional ground vehicle (GV) delivery service. Since there are fuel (battery) and loadable weight restrictions in the UAV delivery, multi-hopping of UAV is necessary, which may cause a large consumption of electrical energy. We present a two-phase approach. In Phase I, a new vehicle routing model to obtain optimal delivery schedules for both UAV-alone and GV-alone delivery systems is proposed, which considers each system's restrictions, such as the max loadable weight and fuel replenishment. In Phase II, CO2 emissions are computed as a sustainability measure based on the travelling distance of the optimal route obtained from Phase I, along with various GV travel-speeds. A case study finds that the UAV-alone delivery system is much more CO2 efficient in all ranges of the GV speeds investigated.

KW - Green vehicle routing

KW - Sustainability of unmanned aerial vehicles

KW - Unmanned aerial vehicle logistics

UR - http://www.scopus.com/inward/record.url?scp=85074846507&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85074846507&partnerID=8YFLogxK

U2 - 10.3390/su11215932

DO - 10.3390/su11215932

M3 - Article

AN - SCOPUS:85074846507

VL - 11

JO - Sustainability

JF - Sustainability

SN - 2071-1050

IS - 21

M1 - 5932

ER -