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dc.contributor.authorVelásquez Rodríguez, Javierspa
dc.contributor.authorCómbita Niño, Johanaspa
dc.contributor.authorParra Negrete, Kevinspa
dc.contributor.authorCabrera Mercado, Danelysspa
dc.contributor.authorAcosta Fontalvo, Luis Carlosspa
dc.coverage.temporalColombiaspa
dc.date.accessioned2022-07-14T19:36:54Z
dc.date.available2022-07-14T19:36:54Z
dc.date.issued2022-01-26
dc.identifier.citationJavier Velásquez Rodríguez, Johana Patricia Cómbita Niño, Kevin Armando Parra Negrete, Danelys Cabrera Mercado, Luis Acosta Fontalvo, Optimization of the distribution logistics network: a case study of the metalworking industry in Colombia, Procedia Computer Science, Volume 198, 2022, Pages 524-529, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2021.12.280.spa
dc.identifier.issn18770509spa
dc.identifier.urihttps://hdl.handle.net/11323/9369spa
dc.description.abstractLogistics management is a key factor for business competitiveness because of the variety of strategies avai lable to improve the distribution of goods through the supply chain, enabling the optimization of the resources assigned to this effect. A key aspect for good logistics management is the distribution network, where the location of the network components plays a key role, especially in the case of distribution centers, which are platforms through which the goods received from factories or suppliers are redistributed to the various points of sale. In the above context, this case study proposes a solution for selecting two locations from among four possible sites for construction of distribution centers for a company in the metalworking industry, aimed at minimizing operating costs through the design of a logistics distribution network, using as a tool the GUSEK software. To this effect, the aspects taken into consideration include vehicle capacity, the costs associated with opening a distribution center, types and volume of the products to be shipped, costs associated with the travel distances, the production c apacity of the factories, and customer demand, among others. Execution of the model produces the best locations for the distribution centers and the types of vehicles to be used based on their capacity and the optimal routes for transporting a company’s goodseng
dc.format.extent6 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoeng
dc.publisherElsevier BVspa
dc.rights© 2021 The Authors. Published by Elsevier B.Vspa
dc.rightsAtribución 4.0 Internacional (CC BY 4.0)spa
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/spa
dc.titleOptimization of the distribution logistics network: A case study of the metalworking industry in Colombiaeng
dc.typeArtículo de revistaspa
dc.identifier.urlhttps://doi.org/10.1016/j.procs.2021.12.280spa
dc.source.urlhttps://www.sciencedirect.com/science/article/pii/S1877050921025199?pes=vor#!spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doi10.1016/j.procs.2021.12.280spa
dc.identifier.instnameCorporación Universidad de la Costaspa
dc.identifier.reponameREDICUC - Repositorio CUCspa
dc.identifier.repourlhttps://repositorio.cuc.edu.co/spa
dc.publisher.placeNetherlandsspa
dc.relation.ispartofjournalProcedia Computer Sciencespa
dc.relation.references[1] Torres Avila V, Gallaro Cannavacciuolo R M, Mertínez Hernández H, and Leyva Zaragoza Leticia 2021 Evaluación de la gestión de proveedores en la Universidad de Holguín RECUS Revista Electrónica Cooperación Universidad Sociedad 6 1 pp 54-63.spa
dc.relation.references[2] Carrasco Zárate E D 2019 Propuesta para optimizar el proceso logístico en el transporte y las operaciones de exportación de la empresa Maxban S.A, Cantón Milagro.spa
dc.relation.references[3] Castañeda Sivincha A R 2018 Estudio de un sistema de gestión logística de almacén, a cargo de un operador logístico, que mejore la eficiencia de la organización de una empresa de manufactura, Arequipa.spa
dc.relation.references[4] Gámez-Albán H M, Mejía-Argueta C, and Espinosa de los Monteros R A 2016 Diseño de una red de distribución a través de un modelo de optimización considerando agotados Ingeniare. Revista chilena de ingeniería 5 4 pp 69-63.spa
dc.relation.references[5] Ruiz-Moreno S, Arango-Serna M D, Serna-Urán C A, and Zapata-Cortes J A 2020 Mathematical model for the distribution network optimization of a courier and parcel company Revista DYNA 87 214 pp 248-257.spa
dc.relation.references[6] Christopher M 2011 Logistics & supply chain management Pearson education limitedspa
dc.relation.references[7] Gámez-Albán H M, Mejía-Argueta C and León Espinosa de los Monteros R A 2017 Diseño de una red de distribución a través de un modelo de optimización considerando agotados Ingeniare. Revista chilena de ingeniería 25 4 pp 619-632spa
dc.relation.references[8] Schiffer M and Walther G 2018 Strategic planning of electric logistics fleet networks a robust location-routing approach Omega 80 pp31-42spa
dc.relation.references[9] Holzapfel A, Kuhn H and Sternbeck M G 2018 Product allocation to different types of the distribution center in retail logistics networks European Journal of Operational Research 264 3 pp 948-966spa
dc.relation.references[10] Gomez Montoya R A, Sanchez Alzate J A and Palacio Munoz J A 2011 Analysis of dispatch op eration in a distribution center-based management processes and simulation INGE CUC 7 1 pp 75-86spa
dc.subject.proposallogistics networkeng
dc.subject.proposalDistributioneng
dc.subject.proposalOptimizationeng
dc.subject.proposalOptimal routeseng
dc.subject.proposalDistribution centerseng
dc.type.coarhttp://purl.org/coar/resource_type/c_6501spa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTspa
dc.type.versioninfo:eu-repo/semantics/publishedVersionspa
dc.relation.citationendpage529spa
dc.relation.citationstartpage524spa
dc.relation.citationvolume198spa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2spa


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