Optimizing last-mile delivery: a multi-criteria approach with automated smart lockers, capillary distribution and crowdshipping

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dc.contributor.authorSawik, Bartosz
dc.contributor.departmentEstadística, Informática y Matemáticases_ES
dc.contributor.departmentEstatistika, Informatika eta Matematikaeu
dc.date.accessioned2024-05-10T08:13:34Z
dc.date.available2024-05-10T08:13:34Z
dc.date.issued2024
dc.date.updated2024-05-10T08:00:52Z
dc.description.abstractBackground: This publication presents a review, multiple criteria optimization models, and a practical example pertaining to the integration of automated smart locker systems, capillary distribution networks, crowdshipping, last-mile delivery and supply chain management. This publication addresses challenges in logistics and transportation, aiming to enhance efficiency, reduce costs and improve customer satisfaction. This study integrates automated smart locker systems, capillary distribution networks, crowdshipping, last-mile delivery and supply chain management. Methods: A review of the existing literature synthesizes key concepts, such as facility location problems, vehicle routing problems and the mathematical programming approach, to optimize supply chain operations. Conceptual optimization models are formulated to solve the complex decisionmaking process involved in last-mile delivery, considering multiple objectives, including cost minimization, delivery time optimization, service level minimization, capacity optimization, vehicle minimization and resource utilization. Results: The multiple criteria approaches combine the vehicle routing problem and facility location problem, demonstrating the practical applicability of the proposed methodology in a real-world case study within a logistics company. Conclusions: The execution of multi-criteria models optimizes automated smart locker deployment, capillary distribution design, crowdshipping and last-mile delivery strategies, showcasing its effectiveness in the logistics sector.en
dc.description.sponsorshipThis research was partially supported by the AGH University of Kraków, Kraków, Poland (16.16.200.396) and the financial aid of the Polish Ministry of Science and Higher Education (MNISW) grants (N N519 405934; 6459/B/T02/2011/40) and the Polish National Science Centre (NCN) research grant (DEC-2013/11/B/ST8/04458). Moreover, I appreciate the support of the Spanish Ministry of Science, Innovation, and Universities (RED2018-102642-T; RED2022-134703-T; PID2019-111100RBC22/ AEI/10.13039/501100011033). Additionally, I acknowledge support from the Public University of Navarra, Pamplona, Spain and University of California at Berkeley, USA. The research was also partially supported by the European Union Horizon 2020 research and innovation program under Marie-Sklodowska Curie, No: 101034285.en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationSawik, B. (2024) Optimizing last-mile delivery: A multi-criteria approach with automated smart lockers, capillary distribution and crowdshipping. Logistics, 8(2), 1-30. https://doi.org/10.3390/logistics8020052.es_ES
dc.identifier.doi10.3390/logistics8020052
dc.identifier.issn2305-6290es_ES
dc.identifier.urihttps://academica-e.unavarra.es/handle/2454/48093
dc.language.isoengen
dc.publisherMDPIen
dc.relation.ispartofLogistics (2024), vol. 8(2),es_ES
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////RED2018-102642-T/
dc.relation.projectIDinfo:eu-repo/grantAgreement////RED2022-134703-T/
dc.relation.projectIDinfo:eu-repo/grantAgreement/European Commission/Horizon 2020 Framework Programme/101034285/
dc.relation.publisherversionhttps://doi.org/10.3390/logistics8020052
dc.rights© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectAutomated smart lockeren
dc.subjectMultiple criteria optimizationen
dc.subjectFacility location problemen
dc.subjectVehicle routing problemen
dc.subjectCapillary distributionen
dc.subjectCrowdshippingen
dc.subjectLast-mile deliveryen
dc.subjectMathematical programmingen
dc.titleOptimizing last-mile delivery: a multi-criteria approach with automated smart lockers, capillary distribution and crowdshippingen
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublication66821c59-c6d7-464f-90ff-4661afdf1ada
relation.isAuthorOfPublication.latestForDiscovery66821c59-c6d7-464f-90ff-4661afdf1ada

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