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dc.creatorMiguel, Fabio Maximiliano-
dc.creatorFrutos, Mariano-
dc.creatorTohmé, Fernando Abel-
dc.creatorMéndez, Máximo-
dc.date2018-07-13T18:59:01Z-
dc.date2018-07-13T18:59:01Z-
dc.date2016-10-
dc.date2018-06-22T14:21:16Z-
dc.date.accessioned2019-04-29T15:53:49Z-
dc.date.available2019-04-29T15:53:49Z-
dc.date.issued2016-10-
dc.identifierMiguel, Fabio Maximiliano; Frutos, Mariano; Tohmé, Fernando Abel; Méndez, Máximo; Integrating packing and distribution problems and optimization through mathematical programming; Growing Science; Decision Science Letters; 5; 2; 10-2016; 317-326-
dc.identifier1929-5804-
dc.identifierhttp://hdl.handle.net/11336/52079-
dc.identifierCONICET Digital-
dc.identifierCONICET-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/304915-
dc.descriptionThis paper analyzes the integration of two combinatorial problems that frequently arise in production and distribution systems. One is the Bin Packing Problem (BPP) problem, which involves finding an ordering of some objects of different volumes to be packed into the minimal number of containers of the same or different size. An optimal solution to this NP-Hard problem can be approximated by means of meta-heuristic methods. On the other hand, we consider the Capacitated Vehicle Routing Problem with Time Windows (CVRPTW), which is a variant of the Travelling Salesman Problem (again a NP-Hard problem) with extra constraints. Here we model those two problems in a single framework and use an evolutionary meta-heuristics to solve them jointly. Furthermore, we use data from a real world company as a test-bed for the method introduced here.-
dc.descriptionFil: Miguel, Fabio Maximiliano. Universidad Nacional de Río Negro; Argentina-
dc.descriptionFil: Frutos, Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentina-
dc.descriptionFil: Tohmé, Fernando Abel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Matemática Bahía Blanca. Universidad Nacional del Sur. Departamento de Matemática. Instituto de Matemática Bahía Blanca; Argentina-
dc.descriptionFil: Méndez, Máximo. Universidad de Las Palmas de Gran Canaria; España-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.languageeng-
dc.publisherGrowing Science-
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://growingscience.com/beta/dsl/2179-integrating-packing-and-distribution-problems-and-optimization-through-mathematical-programming.html-
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.5267/j.dsl.2015.10.002-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/-
dc.sourcereponame:CONICET Digital (CONICET)-
dc.sourceinstname:Consejo Nacional de Investigaciones Científicas y Técnicas-
dc.sourceinstacron:CONICET-
dc.subjectBIN PACKING PROBLEM-
dc.subjectCAPACITATED VEHICLE ROUTING-
dc.subjectLOGISTICS-
dc.subjectOPTIMIZATION-
dc.subjectPROBLEM WITH TIME WINDOWS-
dc.subjectEconomía, Econometría-
dc.subjectEconomía y Negocios-
dc.subjectCIENCIAS SOCIALES-
dc.titleIntegrating packing and distribution problems and optimization through mathematical programming-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
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