Integrating simulation and optimization: a case study in Pamplona for self-collection delivery points network design

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dc.contributor.authorIzco Berastegui, Irene
dc.contributor.authorSerrano Hernández, Adrián
dc.contributor.authorSawik, Bartosz
dc.contributor.authorFaulín Fajardo, Javier
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.contributor.departmentInstitute of Smart Cities - ISCen
dc.contributor.funderUniversidad Pública de Navarra / Nafarroako Unibertsitate Publikoa, PJUPNA26-2022
dc.date.accessioned2024-10-10T06:45:28Z
dc.date.available2024-10-10T06:45:28Z
dc.date.issued2023
dc.date.updated2024-10-10T06:37:53Z
dc.description.abstractThe disruptions experienced by the processes in the last mile delivery during the SARS-CoV-2 pandemic raised the dilemma of up-to-date last mile approaches for Urban Logistics (UL) issues. Self-Collection Delivery Systems (SCDS) have been proved to be an improvement for all the players of the SC, providing flexibility of time-windows and reducing overall mileage, delivery time and, consequently, gas emissions. Differing from previous works involving hybrid modeling for automated parcel lockers (APL) network design, this paper brings a System Dynamics Simulation Model (SDSM) to forecast online shopping demand in the Spanish city of Pamplona. A bi-criteria Facility Location Problem (FLP) is solved by means of an e-constraint method, where e is defined as the level of coverage of the total demand. The experiment run considers 90% of demand coverage, in order to obtain the most complex network possible. The simulation and demand forecast was carried out using Anylogic simulation software and the optimization procedure makes use of the Java-based CPLEX API solver.en
dc.description.sponsorshipThis work was partially funded by the Spanish Ministry of Science, Innovation, and Universities (RED2022-134703-T; PID2019-111100RB-C22/AEI/10.13039/501100011033) and the SEPIE Erasmus+ Program (2019-I-ES01-KA103-062602). We also appreciate the help of the Public University of Navarra for Young Researchers Projects Program (PJUPNA26-2022). Likewise, we appreciate the help of the AGH University of Science & Technology, Krakow, Poland (16.16.200.396) and the financial aid of the Polish Ministry of Science & Higher Education grants (N N519 405934; 6459/B/T02/2011/40), and the Polish National Science Centre research grant (DEC-2013/11/B/ST8/04458).
dc.format.mimetypeapplication/pdfen
dc.identifier.citationIzco, I., Serrano-Hernandez, A., Sawik, B., Faulin, J. (2023) Integrating simulation and optimization: a case study in Pamplona for self-collection delivery points network design. In Affenzeller, M., Bruzzone, A. G., Jimenez, E., Longo, F., Petrillo A. (Eds.), 35th European Modeling and Simulation Symposium, EMSS 2023 (pp. 1-6). Cal-Tek srl. https://doi.org/10.46354/i3m.2023.emss.030.
dc.identifier.doi10.46354/i3m.2023.emss.030
dc.identifier.isbn978-88-85741-87-4
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/52146
dc.language.isoeng
dc.publisherCal-Tek
dc.relation.ispartofAffenzeller, M.; Bruzzone, A. G.; Jimenez, E.; Longo, F.; Petrillo, A. (Eds.). 35th European Modeling and Simulation Symposium, EMSS 2023. Cal-Tek srl; 2023. p. 1-6 978-88-85741-87-4
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/RED2022-134703-T/
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2019-111100RB-C22/ES/
dc.relation.projectIDinfo:eu-repo/grantAgreement/European Commission/ERASMUS+/2019-I-ES01-KA103-062602/
dc.relation.publisherversionhttps://doi.org/10.46354/i3m.2023.emss.030
dc.rights© 2022 The Authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) license.
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAutomatic parcel lockersen
dc.subjectFacility location problemen
dc.subjectLast-mile meliveryen
dc.subjectSystem dynamics simulationen
dc.titleIntegrating simulation and optimization: a case study in Pamplona for self-collection delivery points network designen
dc.typeinfo:eu-repo/semantics/conferenceObject
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
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