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Parcel delivery with drones: multi-criteria analysis of trendy system architectures

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Resumo:New technologies, such as Unmanned Aerial Vehicles (UAVs), are transforming facilities and vehicles into intelligent systems that will significantly modify logistic deliveries in any organization. With the appearance of automated vehicles, drones offer multiple new technological solutions that might trigger different delivery networks or boost new delivery services. Differently from the related works, where a single specific delivery system model is typically addressed, this paper deals with the use of UAVs for logistic deliveries focusing on a multi-criteria analysis of trendy drone-based system architectures. In particular, using the cross-efficiency Data Envelopment Analysis approach, a comparative analysis among three different delivery systems is performed: the classic system based on trucks only, the drone-only system using a fleet of drones, and the hybrid truck and drone system combining trucks and drones. The proposed technique constitutes an effective decision-making tool aimed at helping delivery companies in selecting the optimal delivery system architecture according to their specific needs. The effectiveness of the proposed methodology is shown by a simulation analysis based on a realistic data case study that pertains to the main logistic service providers.
Autores principais:Cavone, Graziana
Outros Autores:Epicoco, Nicola; Carli, Raffaele; Del Zotti, Anna; Pereira, João Paulo; Dotoli, Mariagrazia
Assunto:UAVs Drones Parcel delivery, Multi-criteria Decision making Data envelopment analysis
Ano:2021
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:inglês
Origem:Biblioteca Digital do IPB
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author Cavone, Graziana
author2 Epicoco, Nicola
Carli, Raffaele
Del Zotti, Anna
Pereira, João Paulo
Dotoli, Mariagrazia
author2_role author
author
author
author
author
author_facet Cavone, Graziana
Epicoco, Nicola
Carli, Raffaele
Del Zotti, Anna
Pereira, João Paulo
Dotoli, Mariagrazia
author_role author
contributor_name_str_mv Biblioteca Digital do IPB
country_str PT
creators_json_txt [{\"Person.name\":\"Cavone, Graziana\"},{\"Person.name\":\"Epicoco, Nicola\"},{\"Person.name\":\"Carli, Raffaele\"},{\"Person.name\":\"Del Zotti, Anna\"},{\"Person.name\":\"Pereira, João Paulo\",\"Person.identifier.orcid\":\"0000-0001-9259-0308\"},{\"Person.name\":\"Dotoli, Mariagrazia\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Biblioteca Digital do IPB
datacite.creators.creator.creatorName.fl_str_mv Cavone, Graziana
Epicoco, Nicola
Carli, Raffaele
Del Zotti, Anna
Pereira, João Paulo
Dotoli, Mariagrazia
datacite.date.Accepted.fl_str_mv 2021-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2021-09-07T09:12:04Z
datacite.date.embargoed.fl_str_mv 2021-09-07T09:12:04Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv UAVs
Drones
Parcel delivery,
Multi-criteria
Decision making
Data envelopment analysis
datacite.titles.title.fl_str_mv Parcel delivery with drones: multi-criteria analysis of trendy system architectures
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.creator.none.fl_str_mv Cavone, Graziana
Epicoco, Nicola
Carli, Raffaele
Del Zotti, Anna
Pereira, João Paulo
Dotoli, Mariagrazia
dc.date.Accepted.fl_str_mv 2021-01-01T00:00:00Z
dc.date.available.fl_str_mv 2021-09-07T09:12:04Z
dc.date.embargoed.fl_str_mv 2021-09-07T09:12:04Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10198/23883
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv IEEE
dc.rights.cclincense.fl_str_mv http://creativecommons.org/licenses/by/4.0/
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv UAVs
Drones
Parcel delivery,
Multi-criteria
Decision making
Data envelopment analysis
dc.title.fl_str_mv Parcel delivery with drones: multi-criteria analysis of trendy system architectures
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_5794
description New technologies, such as Unmanned Aerial Vehicles (UAVs), are transforming facilities and vehicles into intelligent systems that will significantly modify logistic deliveries in any organization. With the appearance of automated vehicles, drones offer multiple new technological solutions that might trigger different delivery networks or boost new delivery services. Differently from the related works, where a single specific delivery system model is typically addressed, this paper deals with the use of UAVs for logistic deliveries focusing on a multi-criteria analysis of trendy drone-based system architectures. In particular, using the cross-efficiency Data Envelopment Analysis approach, a comparative analysis among three different delivery systems is performed: the classic system based on trucks only, the drone-only system using a fleet of drones, and the hybrid truck and drone system combining trucks and drones. The proposed technique constitutes an effective decision-making tool aimed at helping delivery companies in selecting the optimal delivery system architecture according to their specific needs. The effectiveness of the proposed methodology is shown by a simulation analysis based on a realistic data case study that pertains to the main logistic service providers.
dirty 0
eu_rights_str_mv openAccess
format conferencePaper
fulltext.url.fl_str_mv https://bibliotecadigital.ipb.pt/bitstreams/8abc5e92-96ba-481d-ac3f-15c697a4ef77/download
id ipb_5a196e29983ca3068bc85d31bc06a779
identifier.url.fl_str_mv http://hdl.handle.net/10198/23883
instacron_str ipb
institution Instituto Politécnico de Bragança
instname_str Instituto Politécnico de Bragança
language eng
network_acronym_str ipb
network_name_str Biblioteca Digital do IPB
oai_identifier_str oai:bibliotecadigital.ipb.pt:10198/23883
organization_str_mv urn:organizationAcronym:ipb
person_str_mv Cavone, Graziana
Epicoco, Nicola
Carli, Raffaele
Del Zotti, Anna
Pereira, João Paulo
Pereira, João Paulo
https://www.ciencia-id.pt/8916-6CB8-AEB1
8916-6CB8-AEB1
http://orcid.org/0000-0001-9259-0308
0000-0001-9259-0308
Dotoli, Mariagrazia
publishDate 2021
publisher.none.fl_str_mv IEEE
reponame_str Biblioteca Digital do IPB
repository_id_str urn:repositoryAcronym:ipb
service_str_mv urn:repositoryAcronym:ipb
spelling engIEEEpt_PTNew technologies, such as Unmanned Aerial Vehicles (UAVs), are transforming facilities and vehicles into intelligent systems that will significantly modify logistic deliveries in any organization. With the appearance of automated vehicles, drones offer multiple new technological solutions that might trigger different delivery networks or boost new delivery services. Differently from the related works, where a single specific delivery system model is typically addressed, this paper deals with the use of UAVs for logistic deliveries focusing on a multi-criteria analysis of trendy drone-based system architectures. In particular, using the cross-efficiency Data Envelopment Analysis approach, a comparative analysis among three different delivery systems is performed: the classic system based on trucks only, the drone-only system using a fleet of drones, and the hybrid truck and drone system combining trucks and drones. The proposed technique constitutes an effective decision-making tool aimed at helping delivery companies in selecting the optimal delivery system architecture according to their specific needs. The effectiveness of the proposed methodology is shown by a simulation analysis based on a realistic data case study that pertains to the main logistic service providers.application/pdfpt_PTParcel delivery with drones: multi-criteria analysis of trendy system architecturesCavone, GrazianaEpicoco, NicolaCarli, RaffaeleDel Zotti, AnnaPersonalPereira, João PauloDSpacehttp://dspace.org/items/55b6262f-9aaf-4fd0-8e83-e858a2a92402DSpacehttp://dspace.org/items/55b6262f-9aaf-4fd0-8e83-e858a2a92402PereiraJoão PauloCiência IDhttps://www.ciencia-id.pt8916-6CB8-AEB1ORCIDhttp://orcid.org0000-0001-9259-0308Researcher IDhttps://www.researcherid.comM-8214-2013Scopus Author IDhttps://www.scopus.com23135900800Dotoli, MariagraziaHostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptISBNIsPartOf978-1-6654-2258-1DOIIsPartOf10.1109/MED51440.2021.94803322021-09-07T09:12:04Z20212021-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/23883http://purl.org/coar/access_right/c_abf2open accessUAVsDronesParcel delivery,Multi-criteriaDecision makingData envelopment analysis3797028 bytesother research producthttp://purl.org/coar/resource_type/c_5794conference paper2021http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/8abc5e92-96ba-481d-ac3f-15c697a4ef77/download693698
spellingShingle Parcel delivery with drones: multi-criteria analysis of trendy system architectures
Cavone, Graziana
UAVs
Drones
Parcel delivery,
Multi-criteria
Decision making
Data envelopment analysis
status SINGLETON
subject.fl_str_mv UAVs
Drones
Parcel delivery,
Multi-criteria
Decision making
Data envelopment analysis
title Parcel delivery with drones: multi-criteria analysis of trendy system architectures
title_full Parcel delivery with drones: multi-criteria analysis of trendy system architectures
title_fullStr Parcel delivery with drones: multi-criteria analysis of trendy system architectures
title_full_unstemmed Parcel delivery with drones: multi-criteria analysis of trendy system architectures
title_short Parcel delivery with drones: multi-criteria analysis of trendy system architectures
title_sort Parcel delivery with drones: multi-criteria analysis of trendy system architectures
topic UAVs
Drones
Parcel delivery,
Multi-criteria
Decision making
Data envelopment analysis
topic_facet UAVs
Drones
Parcel delivery,
Multi-criteria
Decision making
Data envelopment analysis
url http://hdl.handle.net/10198/23883
visible 1