Publication
A VRP model to support last mile maritime containers
dc.contributor.author | Pereira, M. Teresa | |
dc.contributor.author | Ferreirinha, Luís | |
dc.contributor.author | Ferreira, Fernanda A. | |
dc.contributor.author | Oliveira, Marisa | |
dc.date.accessioned | 2021-06-28T10:33:58Z | |
dc.date.available | 2021-06-28T10:33:58Z | |
dc.date.issued | 2022 | |
dc.description.abstract | Due to the constant and hasty development of the process of economic globalization, the transport network has become increasingly complex. This causes significative changes in the manner of cargo transport, which leads to satisfy the costumer’s needs first and only then try to achieve an effective and efficient low-cost distribution. The decision support system developed allows to allocate the closest truck, with capacity, and give the respective quotes automatically, based on predefined criteria and optimization. The result will have a high impact on the parties’ performance: better management of infrastructures used, on the footprint, time of service, customer’ level service, reduction of empty kilometres, less cost and reduction of the receipt period. This investigation has the main goal of developing an online Inland Container Transport (ICT) Decision Support System (DSS). Maritime container distribution and collecting processes is a routing problem, in regions which are oriented to container seaports or inland terminals. Therefore, the problem to be investigated is closely related to the vehicle routing problem with backhauls (VRPB) that finds an optimal set of orders (or routes) with deliveries (linehauls) and pickups (backhauls). | pt_PT |
dc.description.sponsorship | Fernanda A. Ferreira acknowledges the financial support of UNIAG, R&D unit funded by the FCT - Portuguese Foundation for the Development of Science and Technology, Ministry of Science, Technology and Higher Education, under the Project UIDB/04752/2020. | |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.doi | 10.1007/978-3-030-78170-5_31 | pt_PT |
dc.identifier.isbn | 978-3-030-78169-9 | |
dc.identifier.isbn | 978-3-030-78170-5 | |
dc.identifier.uri | http://hdl.handle.net/10400.22/18066 | |
dc.language.iso | eng | pt_PT |
dc.publisher | Springer | pt_PT |
dc.relation | UIDB/04752/2020 | |
dc.relation.publisherversion | https://link.springer.com/chapter/10.1007%2F978-3-030-78170-5_31 | pt_PT |
dc.subject | Last mile distribution | pt_PT |
dc.subject | Maritime container | pt_PT |
dc.subject | Multi-Criteria | pt_PT |
dc.subject | Linear programming | pt_PT |
dc.title | A VRP model to support last mile maritime containers | pt_PT |
dc.type | conference object | |
dspace.entity.type | Publication | |
oaire.citation.conferencePlace | Guimarães, Portugal | pt_PT |
oaire.citation.endPage | 370 | pt_PT |
oaire.citation.startPage | 360 | pt_PT |
oaire.citation.title | International Conference Innovation in Engineering icieng 2021: Innovations in Industrial Engineering | pt_PT |
person.familyName | Ferreira | |
person.givenName | Fernanda A. | |
person.identifier | R-000-4TV | |
person.identifier.ciencia-id | D116-9419-5778 | |
person.identifier.orcid | 0000-0002-1335-7821 | |
person.identifier.rid | N-4563-2013 | |
person.identifier.scopus-author-id | 24723992800 | |
rcaap.rights | closedAccess | pt_PT |
rcaap.type | conferenceObject | pt_PT |
relation.isAuthorOfPublication | aaa18584-508e-46b1-9b50-4e174c0e142c | |
relation.isAuthorOfPublication.latestForDiscovery | aaa18584-508e-46b1-9b50-4e174c0e142c |
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