Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/35331| Author(s): | 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 |
| Date: | 2023 |
| Title: | Parcel delivery services: A sectorization approach with simulation |
| Volume: | 437 |
| Book title/volume: | Operational Research: APDIO 2022 |
| Pages: | 113 - 124 |
| Event title: | 22nd Congress of the Portuguese Association of Operational Research, APDIO 2022 |
| Reference: | 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 |
| Keywords: | Sectorization Delivery services Simulation Multiple criteria Genetic algorithms |
| Abstract: | 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. |
| Peerreviewed: | yes |
| Access type: | Embargoed Access |
| Appears in Collections: | DMQGE-CRI - Comunicações a conferências internacionais |
Files in This Item:
| File | Size | Format | |
|---|---|---|---|
| conferenceObject_100857.pdf Restricted Access | 9,18 MB | Adobe PDF | View/Open Request a copy |
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