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A column generation approach for solving a green bi-objective inventory routing problem

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dc.creatorFranco Franco, Carlos Albertospa
dc.creatorLópez-Santana E.R.spa
dc.creatorMéndez-Giraldo G.spa
dc.date.accessioned2020-05-25T23:56:47Z
dc.date.available2020-05-25T23:56:47Z
dc.date.created2016spa
dc.description.abstractThe aim of this paper is present a multi-objective algorithm embedded with column generation to solve a green bi-objective inventory routing problem. In contrast with the classic Inventory Routing Problem where the main objective is to minimize the total cost overall supply chain network, in the green logistics besides this objective a minimization of the CO2emisions is included. For solving the bi-objective problem, we proposed the use of NISE (Noninferior Set Estimation) algorithm combined with column generation for reduce the amount of variables in the problem. © Springer International Publishing AG 2016.eng
dc.format.mimetypeapplication/pdf
dc.identifier.doihttps://doi.org/10.1007/978-3-319-47955-2_9
dc.identifier.urihttps://repository.urosario.edu.co/handle/10336/22519
dc.language.isoengspa
dc.publisherSpringer Verlagspa
dc.relation.citationEndPage112
dc.relation.citationStartPage101
dc.relation.citationTitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.relation.citationVolumeVol. 10022 LNAI
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol.10022 LNAI,(2016); pp. 101-112spa
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84994075028&doi=10.1007%2f978-3-319-47955-2_9&partnerID=40&md5=c55fb0d4a516e95df925c84c6252b8eespa
dc.rights.accesRightsinfo:eu-repo/semantics/openAccess
dc.rights.accesoAbierto (Texto Completo)spa
dc.source.instnameinstname:Universidad del Rosariospa
dc.source.reponamereponame:Repositorio Institucional EdocURspa
dc.subject.keywordArtificial intelligencespa
dc.subject.keywordCarbon dioxidespa
dc.subject.keywordLogisticsspa
dc.subject.keywordMultiobjective optimizationspa
dc.subject.keywordOptimizationspa
dc.subject.keywordSupply chainsspa
dc.subject.keywordBi objectivesspa
dc.subject.keywordColumn generationspa
dc.subject.keywordColumn generation approachspa
dc.subject.keywordGreen logisticsspa
dc.subject.keywordInventory routing problemsspa
dc.subject.keywordMulti objective algorithmspa
dc.subject.keywordNISEspa
dc.subject.keywordSupply chain networkspa
dc.subject.keywordLinear programmingspa
dc.subject.keywordColumn generationspa
dc.subject.keywordGreen logisticsspa
dc.subject.keywordInventory routing problemspa
dc.subject.keywordMulti-objective optimizationspa
dc.subject.keywordNISEspa
dc.titleA column generation approach for solving a green bi-objective inventory routing problemspa
dc.typeconferenceObjecteng
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.type.spaDocumento de conferenciaspa
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