Mathematical Investigation on the Sustainability of UAV Logistics
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Eun, Joonyup | - |
dc.contributor.author | Song, Byung Duk | - |
dc.contributor.author | Lee, Sangbok | - |
dc.contributor.author | Lim, Dae-Eun | - |
dc.date.accessioned | 2021-09-01T01:19:22Z | - |
dc.date.available | 2021-09-01T01:19:22Z | - |
dc.date.created | 2021-06-19 | - |
dc.date.issued | 2019-11 | - |
dc.identifier.issn | 2071-1050 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/62032 | - |
dc.description.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. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.subject | UNMANNED AERIAL VEHICLE | - |
dc.subject | ROUTING PROBLEM | - |
dc.subject | CO2 EMISSIONS | - |
dc.subject | TIME-WINDOWS | - |
dc.subject | DRONE | - |
dc.subject | DELIVERY | - |
dc.subject | TRUCK | - |
dc.subject | OPTIMIZATION | - |
dc.subject | SERVICE | - |
dc.title | Mathematical Investigation on the Sustainability of UAV Logistics | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Eun, Joonyup | - |
dc.identifier.doi | 10.3390/su11215932 | - |
dc.identifier.scopusid | 2-s2.0-85074846507 | - |
dc.identifier.wosid | 000501205200061 | - |
dc.identifier.bibliographicCitation | SUSTAINABILITY, v.11, no.21 | - |
dc.relation.isPartOf | SUSTAINABILITY | - |
dc.citation.title | SUSTAINABILITY | - |
dc.citation.volume | 11 | - |
dc.citation.number | 21 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Science & Technology - Other Topics | - |
dc.relation.journalResearchArea | Environmental Sciences & Ecology | - |
dc.relation.journalWebOfScienceCategory | Green & Sustainable Science & Technology | - |
dc.relation.journalWebOfScienceCategory | Environmental Sciences | - |
dc.relation.journalWebOfScienceCategory | Environmental Studies | - |
dc.subject.keywordPlus | UNMANNED AERIAL VEHICLE | - |
dc.subject.keywordPlus | ROUTING PROBLEM | - |
dc.subject.keywordPlus | CO2 EMISSIONS | - |
dc.subject.keywordPlus | TIME-WINDOWS | - |
dc.subject.keywordPlus | DRONE | - |
dc.subject.keywordPlus | DELIVERY | - |
dc.subject.keywordPlus | TRUCK | - |
dc.subject.keywordPlus | OPTIMIZATION | - |
dc.subject.keywordPlus | SERVICE | - |
dc.subject.keywordAuthor | sustainability of unmanned aerial vehicles | - |
dc.subject.keywordAuthor | green vehicle routing | - |
dc.subject.keywordAuthor | unmanned aerial vehicle logistics | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.