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dc.contributor.authorManotas Niño, Vanessa Patricia
dc.date.accessioned2023-06-07T20:52:32Z
dc.date.available2023-06-07T20:52:32Z
dc.date.issued2010
dc.identifier.citationManotas Niño, Vanessa Patricia. (2010). Stochastic programming models for designing logistics network. Prospectiva. Volumen: 8(2). 13-19.es_CO
dc.identifier.issn1692-8261
dc.identifier.otherhttps://dialnet.unirioja.es/servlet/articulo?codigo=3634566
dc.identifier.urihttp://hdl.handle.net/10818/55536
dc.description6 páginases_CO
dc.description.abstractIn a supply chain, logistical management is the planning stage, in which, the physical distribution of products, scheduling and supporting manufacturing operations, planning and activities are related with the final products and certain materials are organized for getting the wished results. The problem of designing a logistical network, in many cases, is associated to the correct formulation of the model according to the context in which, the systems develops; from the incursion of all the possible variables that can affect the processes, will depends the success of the said model and truthful results. This paper shows the design of a logistical network and the introduction of stochastic constrains in its programming, the random variables that change through the time with the natural variability associated to the processes, this with the purpose of responding more precisely to the reality inherent to the systems inside the organizationses_CO
dc.language.isoenges_CO
dc.publisherProspectivaes_CO
dc.relation.ispartofseriesProspectiva. Vol. 8(2). 13-19.;
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.otherSupply chain
dc.subject.otherLogistical management
dc.subject.otherPhysical distribution
dc.titleStochastic programming models for designing logistic networkses_CO
dc.typejournales_CO
dc.rights.accessRightsopenAccesses_CO


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