A multi-objective model for the green capacitated location-routing problem considering environmental impact

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dc.contributor.authorToro, Eliana M.
dc.contributor.authorFranco, John F. [UNESP]
dc.contributor.authorEcheverri, Mauricio Granada
dc.contributor.authorGuimarães, Frederico Gadelha
dc.contributor.institutionUniversidad Tecnológica de Pereira
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Federal de Minas Gerais (UFMG)
dc.date.accessioned2018-12-11T16:47:44Z
dc.date.available2018-12-11T16:47:44Z
dc.date.issued2017-08-01
dc.description.abstractThe Capacitated Location-Routing Problem (CLRP) is a strategic-level problem involving the selection of one or many depots from a set of candidate locations and the planning of delivery routes from the selected depots to a set of customers. During the last few years, many logistics and operations research problems have been extended to include greenhouse effect issues and costs related to the environmental impact of industrial and transportation activities. In this paper a new mathematical model for the calculation of greenhouse gas emissions is developed and a new model for the CLRP considering fuel consumption minimization is proposed. This model, named Green CLRP (G-CLRP), is represented by a mixed integer linear problem, which is characterized by incorporating a set of new constraints focused on maintaining the problem connectivity requirements. The model proposed is formulated as a bi-objective problem, considering the minimization of operational costs and the minimization of environmental effects. A sensitivity analysis in instances of different sizes is done to show that the proposed objective functions are indeed conflicting goals. The proposed mathematical model is solved with the classical epsilon constraint technique. The results clearly show that the proposed model is able to generate a set of tradeoff solutions leading to interesting conclusions about the operational costs and the environmental impact. This set of solutions is useful in the decision process because several planning alternatives can be considered at strategic level.en
dc.description.affiliationFacultad de Ingeniería Industrial Universidad Tecnológica de Pereira
dc.description.affiliationPrograma de Ingeniería Eléctrica Facultad de Ingenierías Universidad Tecnológica de Pereira
dc.description.affiliationUniversidade Estadual Paulista Júlio de Mesquita Filho UNESP, Ilha Solteira
dc.description.affiliationDepartment of Electrical Engineering Universidade Federal de Minas Gerais UFMG
dc.description.affiliationUnespUniversidade Estadual Paulista Júlio de Mesquita Filho UNESP, Ilha Solteira
dc.format.extent114-125
dc.identifierhttp://dx.doi.org/10.1016/j.cie.2017.05.013
dc.identifier.citationComputers and Industrial Engineering, v. 110, p. 114-125.
dc.identifier.doi10.1016/j.cie.2017.05.013
dc.identifier.file2-s2.0-85020411344.pdf
dc.identifier.issn0360-8352
dc.identifier.scopus2-s2.0-85020411344
dc.identifier.urihttp://hdl.handle.net/11449/169819
dc.language.isoeng
dc.relation.ispartofComputers and Industrial Engineering
dc.relation.ispartofsjr1,463
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectCapacitated location-routing problem
dc.subjectGreen logistics
dc.subjectGreen vehicle routing problem
dc.subjectMixed-integer linear programming
dc.subjectVehicle routing problem
dc.titleA multi-objective model for the green capacitated location-routing problem considering environmental impacten
dc.typeArtigo

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