Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/31137
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Campo DCValorIdioma
dc.contributor.authorElvas, L. B.-
dc.contributor.authorTokkozhina, U.-
dc.contributor.authorMartins, A.-
dc.contributor.authorFerreira, J.-
dc.contributor.editorLuís de Picado Santos-
dc.contributor.editorJorge Pinho de Sousa-
dc.contributor.editorElisabete Arsenio-
dc.date.accessioned2024-02-21T12:07:53Z-
dc.date.available2024-02-21T12:07:53Z-
dc.date.issued2023-
dc.identifier.citationElvas, L. B., Tokkozhina, U., Martins, A., & Ferreira, J. (2023). Implementation of disruptive technologies for the last mile delivery efficiency achievement. Em L. P. Santos, J. P. Sousa, & E. Arsenio (Eds.). 2022 Conference Proceedings Transport Research Arena, TRA Lisbon 2022 (Vol.72, pp. 32-39). Elsevier. https://doi.org/10.1016/j.trpro.2023.11.319-
dc.identifier.issn2352-1457-
dc.identifier.urihttp://hdl.handle.net/10071/31137-
dc.description.abstracthe last mile delivery (LMD) is one of the most tangled procedures in logistics. The reason is that it involves various uncertainties, including weather and road conditions, traffic hours and route selection, car accidents, delivery vehicle anomalies, at the same time needing to avoid parcel damages and delivery errors, while communicating with the recipient of the parcel. Above-mentioned factors cause the difficulties of successful parcels delivery to customers' doorsteps. Therefore, businesses need to search for technology solutions that will enable increase of last mile delivery efficiency. All intelligent solutions are built upon big data, as huge volumes of data allow the prediction of future behavior based on historical knowledge. In this study we propose a last-mile solution where the combination of disruptive technologies allow a better distribution without costs increasing.eng
dc.language.isoeng-
dc.publisherElsevier-
dc.relation.ispartof2022 Conference Proceedings Transport Research Arena, TRA Lisbon 2022-
dc.rightsopenAccess-
dc.subjectInteligência artificial -- Artificial intelligenceeng
dc.subjectInternet of Things (IoT)eng
dc.subjectBlockchaineng
dc.subjectBig dataeng
dc.subjectLast mile deliveryeng
dc.subjectOtimização -- Optimizationeng
dc.titleImplementation of disruptive technologies for the last mile delivery efficiency achievementeng
dc.typeconferenceObject-
dc.event.typeConferênciapt
dc.event.date2022-
dc.pagination32 - 39-
dc.peerreviewedyes-
dc.volume72-
dc.date.updated2024-02-21T12:06:33Z-
dc.description.versioninfo:eu-repo/semantics/publishedVersion-
dc.identifier.doi10.1016/j.trpro.2023.11.319-
dc.subject.fosDomínio/Área Científica::Engenharia e Tecnologia::Engenharia Civilpor
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-100122-
iscte.alternateIdentifiers.scopus2-s2.0-85182924457-
Aparece nas coleções:BRU-CRI - Comunicações a conferências internacionais
ISTAR-CRI - Comunicações a conferências internacionais

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