RT info:eu-repo/semantics/conferenceObject
T1 An agile and reactive biased-randomized heuristic for an agri-food rich vehicle routing problem
A1 Tordecilla, Rafael D.
A1 Copado-Méndez, Pedro J.
A1 Panadero, Javier
A1 Martins, Leandro do C.
A1 Juan, Angel A.
K1 Logística
K1 Logistics
K1 Operaciones
K1 Operations
K1 Ingeniería civil
K1 Civil engineering
K1 Transporte
K1 Transportation
AB Operational problems in agri-food supply chains usually show characteristics that arescarcely addressed by traditional academic approaches. These characteristics make analready NP-hard problem even more challenging; hence, this problem requires the use oftailor-made algorithms in order to solve it efficiently. This work addresses a rich vehiclerouting problem in a real-world agri-food supply chain. Different types of animal foodproducts are distributed to raising-pig farms. These products are incompatible, i.e., multicompartmentheterogeneous vehicles must be employed to perform the distributionactivities. The problem considers constraints regarding visit priorities among farms, andnot-allowed access of large vehicles to a subset of farms. Finally, a set of flat tariffs areemployed to formulate the cost function. This problem is solved employing a reactivesavings-based biased-randomized heuristic, which does not require any time-costlyparameter fine-tuning process. Our results show savings in both cost and traveled distancewhen compared with the real supply chain performance.
PB Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional
SN 978-84-18465-12-3
YR 2021
FD 2021-07
LK http://hdl.handle.net/10259/6911
UL http://hdl.handle.net/10259/6911
LA eng
NO 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
NO 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).
DS Repositorio Institucional de la Universidad de Burgos
RD 25-abr-2024