Szczegóły publikacji
Opis bibliograficzny
A simulation-optimization model for automated parcel lockers network design in urban scenarios in Pamplona (Spain), Zakopane, and Krakow (Poland) / Bartosz SAWIK, Adrian Serrano-Hernandez, Aitor Ballano, Javier Faulin // W: WSC 2022 [Dokument elektroniczny] : Winter Simulation Conference : [Singapore, December 11-14, 2022]. — Wersja do Windows. — Dane tekstowe. — [S. l.] : IEEE, cop. 2022. — e-ISBN: 978-1-6654-7661-4. — S. 1648–1659. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 1658–1659, Abstr. — Abstrakt także pod adresem https://ssl.linklings.net/conferences/wsc/wsc2022_program/views/at_a_glance.html
Autorzy (4)
- AGHSawik Bartosz
- Serrano-Hernandez Adrian
- Ballano Aitor
- Faulin Javier
Dane bibliometryczne
| ID BaDAP | 144323 |
|---|---|
| Data dodania do BaDAP | 2023-01-03 |
| Tekst źródłowy | URL |
| DOI | 10.1109/WSC57314.2022.10015458 |
| Rok publikacji | 2022 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp | |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
| Konferencja | Winter Simulation Conference 2022 |
Abstract
The constant rise of e-commerce coupled with extremely fast deliveries is a significant contributor to saturate city centers' mobility. To address this issue, the development of a convenient Automated Parcel Lockers (APLs) network improves last-mile distribution by reducing the number of transportation vehicles, the distances driven, and the delivery stops. This article aims to define and compare APL networks in the cities of Pamplona (Spain), Zakopane and Krakow (Poland). Thereby, a bi-criteria weighted-sum simulation optimization model is developed for a representative year for the aforementioned cities. The simulation forecasts the e-commerce demands whereas the optimal APL network is obtained with a bi-criteria maximum APL revenues and minimum network costs. Meaningful results are obtained from the multi-criteria hybrid model outcomes as well as from the cities comparison. These outcomes suggest efficient APLs networks considering cultural and demographic factors for a massive use of APLs in high-demand periods.