Optimizing last-mile delivery: a multi-criteria approach with automated smart lockers, capillary distribution and crowdshipping
Fecha
2024Autor
Versión
Acceso abierto / Sarbide irekia
Tipo
Artículo / Artikulua
Versión
Versión publicada / Argitaratu den bertsioa
Identificador del proyecto
Impacto
|
10.3390/logistics8020052
Resumen
Background: 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 impro ...
[++]
Background: 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. [--]
Materias
Automated smart locker,
Multiple criteria optimization,
Facility location problem,
Vehicle routing problem,
Capillary distribution,
Crowdshipping,
Last-mile delivery,
Mathematical programming
Editor
MDPI
Publicado en
Logistics (2024), vol. 8(2),
Departamento
Universidad Pública de Navarra. Departamento de Estadística, Informática y Matemáticas /
Nafarroako Unibertsitate Publikoa. Estatistika, Informatika eta Matematika Saila
Versión del editor
Entidades Financiadoras
This 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.