2026-09-15T10:17:53Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/69112024-05-17T09:30:47Zcom_10259.4_104com_10259_2604col_10259_6848

Tordecilla, Rafael D. Copado-Méndez, Pedro J. Panadero, Javier Martins, Leandro do C. Juan, Angel A. 2021-07 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. application/pdf http://hdl.handle.net/10259/6911 eng Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional An agile and reactive biased-randomized heuristic for an agri-food rich vehicle routing problem info:eu-repo/semantics/conferenceObject TEXT RIUBU. Repositorio Institucional de la Universidad de Burgos Hispana