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Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/42324
DC FieldValueLanguage
dc.contributor.authorSantos-Peñate, D. R.-
dc.contributor.authorCampos-Rodríguez, C. M.-
dc.contributor.authorMoreno-Pérez, J. A.-
dc.date.accessioned2018-10-29T11:29:40Z-
dc.date.available2018-10-29T11:29:40Z-
dc.date.issued2019-
dc.identifier.issn0969-6016-
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/42324-
dc.description.abstractThe (r | p)-centroid problem or leader-follower problem is generalized considering different customer choice rules where a customer may use facilities belonging to different firms, if the difference in travel distance (or time) is small enough. Assuming essential goods, some particular customer choice rules are analyzed. Linear programming formulations for the generalized (r | Xp)-medianoid and (r | p)-centroid problems are presented and an exact solution approach is applied. Some computational examples are included.-
dc.languageeng-
dc.publisher0969-6016-
dc.relationTécnicas de Optimización y Modelos en Redes Complejas Para la Toma de Decisiones en Economía-
dc.relation.ispartofInternational Transactions in Operational Research-
dc.sourceInternational Transactions In Operational Research [ISSN 0969-6016], v. 26 (1), p. 340-363-
dc.subject531290 Economía sectorial: turismo-
dc.subject.otherCompetitive location-
dc.subject.otherBilevel problems-
dc.subject.other(r | p)-centroid-
dc.subject.other(r | X p )-medianoid-
dc.subject.otherLeader–follower problem-
dc.subject.otherLinear programming-
dc.titleThe generalized discrete (r | p)-centroid problem-
dc.typeinfo:eu-repo/semantics/Article-
dc.typeArticle-
dc.identifier.doi10.1111/itor.12289
dc.identifier.scopus84964337031-
dc.identifier.isi000445190800017-
dc.contributor.authorscopusid6506715299-
dc.contributor.authorscopusid6505993221-
dc.contributor.authorscopusid6603409673-
dc.identifier.eissn1475-3995-
dc.description.lastpage363-
dc.identifier.issue1-
dc.description.firstpage340-
dc.relation.volume26-
dc.investigacionCiencias Sociales y Jurídicas-
dc.type2Artículo-
dc.contributor.daisngid2737400
dc.contributor.daisngid28044921
dc.contributor.daisngid830049
dc.utils.revisionSí-
dc.contributor.wosstandardWOS:Santos-Penate, DR
dc.contributor.wosstandardWOS:Campos-Rodriguez, CM
dc.contributor.wosstandardWOS:Moreno-Perez, JA
dc.date.coverdateEnero 2019
dc.identifier.ulpgcSíes
dc.description.sjr1,018
dc.description.jcr2,987
dc.description.sjrqQ1
dc.description.jcrqQ2
dc.description.scieSCIE
dc.description.ssciSSCI
item.fulltextSin texto completo-
item.grantfulltextnone-
crisitem.author.deptGIR TIDES- Técnicas estadísticas bayesianas y de decisión en la economía y empresa-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0002-2694-7943-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.fullNameSantos Peñate, Dolores Rosa-
crisitem.project.principalinvestigatorSantos Peñate, Dolores Rosa-
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