The Heterogeneous Flexible Periodic Vehicle Routing Problem: Mathematical formulations and solution algorithms

Huerta-Muñoz, Diana L.; Archetti, Claudia; Fernández Areizaga, Elena; Perea Rojas-Marcos, Federico

doi:10.1016/j.cor.2021.105662

Artículo

dc.creator	Huerta-Muñoz, Diana L.	es
dc.creator	Archetti, Claudia	es
dc.creator	Fernández Areizaga, Elena	es
dc.creator	Perea Rojas-Marcos, Federico	es
dc.date.accessioned	2023-05-26T10:40:04Z
dc.date.available	2023-05-26T10:40:04Z
dc.date.issued	2022-05
dc.identifier.issn	0305-0548	es
dc.identifier.issn	1873-765X	es
dc.identifier.uri	https://hdl.handle.net/11441/146683
dc.description.abstract	The aim of this paper is to introduce the Flexible Periodic Vehicle Routing Problem with Heterogeneous Fleet, a variant of the Periodic Vehicle Routing Problem. Flexibility is introduced in service schedules and delivered quantities, heterogeneity comes from different vehicles capacities and speeds. Three Mixed-Integer Linear Programming formulations and a matheuristic, based on Kernel Search, are proposed. Computational tests are made to evaluate the performance of the three formulations and to assess the quality of the solutions provided by the matheuristic.	es
dc.format	application/pdf	es
dc.format.extent	23 p.	es
dc.language.iso	eng	es
dc.publisher	Elsevier	es
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Kernel Search	es
dc.subject	Matheuristics	es
dc.subject	Vehicle Routing	es
dc.subject	Heterogeneous Fleet	es
dc.title	The Heterogeneous Flexible Periodic Vehicle Routing Problem: Mathematical formulations and solution algorithms	es
dc.type	info:eu-repo/semantics/article	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.type.version	info:eu-repo/semantics/submittedVersion	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Matemática Aplicada II (ETSI)	es
dc.relation.projectID	RTI2018- 094940-B-100	es
dc.relation.projectID	MTM2016-74983	es
dc.relation.projectID	AICO/2020/049	es
dc.relation.publisherversion	https://www.sciencedirect.com/science/article/pii/S0305054821003646?via%3Dihub	es
dc.identifier.doi	10.1016/j.cor.2021.105662	es
dc.contributor.group	Universidad de Sevilla. FQM241: Grupo de Investigación en Localización	es
idus.validador.nota	Preprint. Submitted version Preprint. Versión enviada	es
dc.journaltitle	Computers and Operations Research	es
dc.publication.volumen	141	es
dc.publication.issue	105662	es
dc.contributor.funder	Spanish Ministerio de Ciencia, Innovación y Universidades grant RTI2018- 094940-B-100	es
dc.contributor.funder	Spanish Ministerio de Ciencia, Innovación y Universidades grant MTM2016-74983	es
dc.contributor.funder	Generalitat Valenciana, Spain grant AICO/2020/049	es

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