Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/35331
Autoria: Lopes, I.
Rodrigues, A.
Ozturk, E.
Ferreira, J.
Nunes, A. C.
Rocha, P.
Oliveira, C.
Editor: João Paulo Almeida
Filipe Pereira e Alvelos
Jorge Orestes Cerdeira
Samuel Moniz
Cristina Requejo
Data: 2023
Título próprio: Parcel delivery services: A sectorization approach with simulation
Volume: 437
Título e volume do livro: Operational Research: APDIO 2022
Paginação: 113 - 124
Título do evento: 22nd Congress of the Portuguese Association of Operational Research, APDIO 2022
Referência bibliográfica: Lopes, 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
ISSN: 2194-1009
ISBN: 978-3-031-46439-3
DOI (Digital Object Identifier): 10.1007/978-3-031-46439-3_9
Palavras-chave: Sectorization
Delivery services
Simulation
Multiple criteria
Genetic algorithms
Resumo: Sectorization 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.
Arbitragem científica: yes
Acesso: Acesso Embargado
Aparece nas coleções:DMQGE-CRI - Comunicações a conferências internacionais

Ficheiros deste registo:
Ficheiro TamanhoFormato 
conferenceObject_100857.pdf
  Restricted Access
9,18 MBAdobe PDFVer/Abrir Request a copy


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis Logotipo do Orcid 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.