Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/35331
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dc.contributor.authorLopes, I.-
dc.contributor.authorRodrigues, A.-
dc.contributor.authorOzturk, E.-
dc.contributor.authorFerreira, J.-
dc.contributor.authorNunes, A. C.-
dc.contributor.authorRocha, P.-
dc.contributor.authorOliveira, C.-
dc.contributor.editorJoão Paulo Almeida-
dc.contributor.editorFilipe Pereira e Alvelos-
dc.contributor.editorJorge Orestes Cerdeira-
dc.contributor.editorSamuel Moniz-
dc.contributor.editorCristina Requejo-
dc.date.accessioned2025-10-13T08:55:09Z-
dc.date.available2025-10-13T08:55:09Z-
dc.date.issued2023-
dc.identifier.citationLopes, I., Rodrigues, A., Ozturk, E., Ferreira, J., Nunes, A. C., Rocha, P., & Oliveira, C. (2023). Parcel delivery services: A sectorization approach with simulation. In J. P. Almeida, F. Pereira e Alvelos, J. O. Cerdeira, S.l Moniz, & C. Requejo (Eds.), Operational Research: APDIO 2022 (pp. 113-124). Springer. https://doi.org/10.1007/978-3-031-46439-3_9-
dc.identifier.isbn978-3-031-46439-3-
dc.identifier.issn2194-1009-
dc.identifier.urihttp://hdl.handle.net/10071/35331-
dc.description.abstractSectorization problems, also known as districting or territory design, deal with grouping a set of previously defined basic units, such as points or small geographical areas, into a fixed number of sectors or responsibility areas. Usually, there are multiple criteria to be satisfied regarding the geographic characteristics of the territory or the planning purposes. This work addresses a case study of parcel delivery services in the region of Porto, Portugal. Using knowledge about the daily demand in each basic unit (7-digit postal code), the authors analysed data and used it to simulate dynamically new daily demands according to the relative frequency of service in each basic unit and the statistical distribution of the number of parcels to be delivered in each basic unit. The sectorization of the postal codes is solved independently considering two objectives (equilibrium and compactness) using Non-dominated Sorting Genetic Algorithm-II (NSGA-II) implemented in Python.eng
dc.language.isoeng-
dc.publisherSpringer-
dc.relationinfo:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Base/UIDB%2F05422%2F2020/PT-
dc.relationPOCI-01-0145-FEDER-031671-
dc.relation.ispartofOperational Research: APDIO 2022-
dc.rightsembargoedAccess-
dc.subjectSectorizationeng
dc.subjectDelivery serviceseng
dc.subjectSimulationeng
dc.subjectMultiple criteriaeng
dc.subjectGenetic algorithmseng
dc.titleParcel delivery services: A sectorization approach with simulationeng
dc.typeconferenceObject-
dc.event.title22nd Congress of the Portuguese Association of Operational Research, APDIO 2022-
dc.event.typeConferênciapt
dc.event.locationÉvora, Portugaleng
dc.event.date2022-
dc.pagination113 - 124-
dc.peerreviewedyes-
dc.volume437-
dc.date.updated2025-10-13T09:53:58Z-
dc.description.versioninfo:eu-repo/semantics/acceptedVersion-
dc.identifier.doi10.1007/978-3-031-46439-3_9-
dc.subject.fosDomínio/Área Científica::Ciências Naturais::Matemáticaspor
iscte.subject.odsIndústria, inovação e infraestruturaspor
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-100857-
iscte.alternateIdentifiers.wosWOS:001292936000009-
iscte.alternateIdentifiers.scopus2-s2.0-85182505253-
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