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dc.contributor.authorCáceres Cruz, José de Jesús-
dc.contributor.authorJuan Pérez, Ángel Alejandro-
dc.contributor.authorGrasman, Scott Erwin-
dc.contributor.authorBektas, Tolga-
dc.contributor.authorFaulin Fajardo, Francisco Javier-
dc.date.accessioned2019-01-30T12:16:35Z-
dc.date.available2019-01-30T12:16:35Z-
dc.date.issued2012-12-
dc.identifier.citationCáceres-Cruz, J., Juan, A.A., Grasman, S., Bektas, T. & Faulin Fajardo, F.J. (2012). Combining Monte-Carlo Simulation with Heuristics for solving the Inventory Routing Problem with Stochastic Demands. Winter Simulation Conference (WSC). Proceedings, 2012(), 3114-3122. doi: 10.1109/WSC.2012.6464999-
dc.identifier.isbn9781467347815-
dc.identifier.issn1558-4305MIAR
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dc.identifier.urihttp://hdl.handle.net/10609/90869-
dc.description.abstractIn this paper, we introduce a simulation-based algorithm for solving the single-period Inventory Routing Problem (IRP) with stochastic demands. Our approach, which combines simulation with heuristics, considers different potential inventory policies for each customer, computes their associated inventory costs according to the expected demand in the period, and then estimates the marginal routing savings associated with each customer-policy entity. That way, for each customer it is possible to rank each inventory policy by estimating its total costs, i.e., both inventory and routing costs. Finally, a multi-start process is used to iteratively construct a set of promising solutions for the IRP. At each iteration of this multi-start process, a new set of policies is selected by performing an asymmetric randomization on the list of policy ranks. Some numerical experiments illustrate the potential of our approach.en
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherWinter Simulation Conference (WSC). Proceedings-
dc.relation.ispartofWinter Simulation Conference (WSC). Proceedings, 2012-
dc.relation.ispartofseriesWinter Simulation Conference, Berlín, Alemanya, 9-12, desembre de 2012-
dc.relation.urihttps://ieeexplore.ieee.org/document/6464999-
dc.relation.urihttps://informs-sim.org/wsc12papers/includes/files/con168.pdf-
dc.rights(c) Author/s & (c) Journal-
dc.subjectroutingen
dc.subjectstochastic processesen
dc.subjectheuristic algorithmsen
dc.subjecteducational institutionsen
dc.subjectvehiclesen
dc.subjectmodelingen
dc.subjectMonte Carlo methodsen
dc.subjectenrutamentca
dc.subjectenrutamientoes
dc.subjectprocesos estocásticoses
dc.subjectprocessos estocàsticsca
dc.subjectalgorismes heurísticsca
dc.subjectalgoritmos heurísticoses
dc.subjectinstitucions educativesca
dc.subjectinstituciones educativases
dc.subjectvehículoses
dc.subjectvehiclesca
dc.subjectmodelitzacióca
dc.subjectmodelizaciónes
dc.subjectmétodos Monte Carloes
dc.subjectmètodes Monte Carloca
dc.subject.lcshAlgorithmsen
dc.titleCombining Monte-Carlo simulation with heuristics for solving the inventory routing problem with stochastic demands-
dc.typeinfo:eu-repo/semantics/conferenceObject-
dc.audience.mediatorTheme areas-
dc.subject.lemacAlgorismesca
dc.subject.lcshesAlgoritmoses
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccess-
dc.identifier.doi10.1109/WSC.2012.6464999-
dc.relation.projectIDinfo:eu-repo/grantAgreement/TRA2010-21644-C03-
dc.relation.projectIDinfo:eu-repo/grantAgreement/CYTED2010-511RT0419-
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