2026-05-12T08:08:55Zhttps://riubu.ubu.es/oai/requestoai:riubu.ubu.es:10259/69112024-05-17T09:30:47Zcom_10259.4_104com_10259_2604col_10259_6848
Tordecilla, Rafael D.
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600
Copado-Méndez, Pedro J.
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600
Panadero, Javier
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600
Martins, Leandro do C.
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600
Juan, Angel A.
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600
2022-09-19T09:42:56Z
2022-09-19T09:42:56Z
2021-07
978-84-18465-12-3
http://hdl.handle.net/10259/6911
10.36443/10259/6911
Trabajo presentado en: R-Evolucionando el transporte, XIV Congreso de Ingeniería del Transporte (CIT 2021), realizado en modalidad online los días 6, 7 y 8 de julio de 2021, organizado por la Universidad de Burgos
Operational problems in agri-food supply chains usually show characteristics that are
scarcely addressed by traditional academic approaches. These characteristics make an
already NP-hard problem even more challenging; hence, this problem requires the use of
tailor-made algorithms in order to solve it efficiently. This work addresses a rich vehicle
routing problem in a real-world agri-food supply chain. Different types of animal food
products are distributed to raising-pig farms. These products are incompatible, i.e., multicompartment
heterogeneous vehicles must be employed to perform the distribution
activities. The problem considers constraints regarding visit priorities among farms, and
not-allowed access of large vehicles to a subset of farms. Finally, a set of flat tariffs are
employed to formulate the cost function. This problem is solved employing a reactive
savings-based biased-randomized heuristic, which does not require any time-costly
parameter fine-tuning process. Our results show savings in both cost and traveled distance
when compared with the real supply chain performance.
This work has been partially supported by the Doctoral School of the Universitat Oberta de Catalunya (Spain), the Universidad de La Sabana (Colombia, Grant INGPhD-12-2020), and the EU-IoF2020 project (282300206-UC005).
application/pdf
eng
Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional
R-Evolucionando el transporte
http://hdl.handle.net/10259/6490
https://doi.org/10.36443/9788418465123
info:eu-repo/grantAgreement/EC/H2020/282300206-UC005/EU/Internet of Food and Farm 2020
info:eu-repo/grantAgreement/UdLS//INGPhD-12-2020
Logística
Operaciones
Logistics
Operations
Ingeniería civil
Transportes
Civil engineering
Transportation
An agile and reactive biased-randomized heuristic for an agri-food rich vehicle routing problem
info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/openAccess
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Tordecilla_CIT2021_1085-1096.pdf
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10259/6911
oai:riubu.ubu.es:10259/6911
2024-05-17 11:30:47.473
Repositorio Institucional de la Universidad de Burgos
bubrep@ubu.es
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