Mostrar el registro sencillo del ítem

dc.contributor.authorGuerrero, W. J.C
dc.contributor.authorProdhon, C.
dc.contributor.authorVelasco, N.
dc.contributor.authorAmaya, C. A.
dc.date.accessioned2021-12-10T15:18:54Z
dc.date.available2021-12-10T15:18:54Z
dc.date.issued2014
dc.identifier.issn09696016
dc.identifier.urihttps://repositorio.escuelaing.edu.co/handle/001/1917
dc.description.abstractThis paper considers the problem of designing a supply chain assuming routing decisions. The objective is to select a subset of depots to open from a set of candidates, the inventory policies for a two-echelon system, and the set of routes to perform distribution from the upper echelon to the next by a homogeneous fleet of vehicles over a finite planning horizon considering deterministic demand. To solve the problem, a partition is proposed using a Dantzig–Wolfe formulation on the routing variables. A hybridization between column generation, Lagrangian relaxation, and local search is presented within a heuristic procedure. Results demonstrate the capability of the algorithm to compute high quality solutions and empirically estimate the improvement in the cost function of the proposed model at up to 9% compared to the sequential approach. Furthermore, the suggested pricing problem is a new variant of the shortest path problem with applications in urban transportation and telecommunications.eng
dc.description.abstractEste artículo considera el problema de diseñar una cadena de suministro asumiendo decisiones de enrutamiento. El objetivo es seleccionar un subconjunto de depósitos para abrir de un conjunto de candidatos, las políticas de inventario para un sistema de dos escalones y el conjunto de rutas para realizar la distribución desde el escalón superior al siguiente por una flota homogénea de vehículos sobre un horizonte finito de planificación considerando la demanda determinista. Para resolver el problema, se propone una partición utilizando una formulación de Dantzig-Wolfe sobre las variables de enrutamiento. Se presenta una hibridación entre generación de columnas, relajación lagrangiana y búsqueda local dentro de un procedimiento heurístico. Los resultados demuestran la capacidad del algoritmo para calcular soluciones de alta calidad y estimar empíricamente la mejora en la función de coste del modelo propuesto hasta en un 9 % en comparación con el enfoque secuencial. Además, el problema de fijación de precios sugerido es una nueva variante del problema del camino más corto con aplicaciones en transporte urbano y telecomunicaciones.spa
dc.format.extent20 páginas.spa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherJohn Wiley & Sons, Inc.spa
dc.rightsC 2014 The Authors.eng
dc.titleA relax-and-price heuristic for the inventory-location-routing problemeng
dc.typeArtículo de revistaspa
dc.type.versioninfo:eu-repo/semantics/publishedVersionspa
oaire.accessrightshttp://purl.org/coar/access_right/c_14cbspa
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85spa
dc.contributor.researchgroupManufactura y Serviciosspa
dc.publisher.placeE.E.U.U.spa
dc.relation.citationendpage148spa
dc.relation.citationstartpage129spa
dc.relation.citationvolume22spa
dc.relation.indexedN/Aspa
dc.relation.ispartofjournalInternational Transactions in Operational Researcheng
dc.relation.referencesAmbrosino, D., Scutella, M.-G., 2005. Distribution network design: New problems and related models. ` European Journal of Operational Research 165, 3, 610–624.spa
dc.relation.referencesBalcik, B., Beamon, B., Krejci, C., Muramatsu, K., Ramirez, M., 2010. Coordination in humanitarian relief chains: Practices, challenges and opportunities. International Journal of Production Economics 126, 22–34.spa
dc.relation.referencesBeasley, J.E., 1993. Lagrangean relaxation. In Reeves, C.R. (ed.) Modern Heuristic Techniques for Combinatorial Problems, John Wiley & Sons, New York, pp. 243–303.spa
dc.relation.referencesBelenguer, J.-M., Benavent, E., Prins, C., Prodhon, C., Wolfler-Calvo, R., 2011. A branch-and-cut method for the capacitated location-routing problem. Computers and Operations Research 38, 6, 931–941.spa
dc.relation.referencesDaskin, M., Snyder, L., Berger, R., 2005. Facility location in supply chain design. Logistics Systems: Design and Optimization 1, 39–65.spa
dc.relation.referencesFeillet, D., 2010. A tutorial on column generation and branch-and-price for vehicle routing problems. 4OR: A Quarterly Journal of Operations Research 8, 407–424.spa
dc.relation.referencesGeoffrion, A., 1974. Lagrangian relaxation for integer programming. Mathematical Programming Study 2, 82–114.spa
dc.relation.referencesGuerrero, W., Prodhon, C., Velasco, N., Amaya, C., 2013a. Hybrid heuristic for the inventory location-routing problem with deterministic demand. International Journal of Production Economics 146, 1, 359–370.spa
dc.relation.referencesGuerrero, W., Velasco, N., Prodhon, C., Amaya, C., 2013b. On the generalized elementary shortest path problem: a heuristic approach. Electronic Notes in Discrete Mathematics 41, 503–510.spa
dc.relation.referencesHansen, P., Mladenovic, N., 2003. Variable neighborhood search. In Glover, F., Kochenberger, G.A. (eds) Handbook of Metaheuristics, Kluwer, Boston, MA, pp. 145–184.spa
dc.relation.referencesJavid, A.A., Azad, N., 2010. Incorporating location, routing and inventory decisions in supply chain network design. Transportation Research Part E: Logistics and Transportation Review 46, 5, 582–597.spa
dc.relation.referencesKallehauge, B., Larsen, J., Madsen, O.B.G., 2006. Lagrangian duality applied to the vehicle routing problem with time windows. Computers and Operations Research 33, 5, 1464–1487.spa
dc.relation.referencesLiu, S.C., Lee, S.B., 2003. A two-phase heuristic method for the multi-depot location routing problem taking inventory control decisions into consideration. The International Journal of Advanced Manufacturing Technology 22, 941–950.spa
dc.relation.referencesLiu, S.C., Lin, C.C., 2005. A heuristic method for the combined location routing and inventory problem. The International Journal of Advanced Manufacturing Technology 26, 372–381.spa
dc.relation.referencesManzini, R., 2012. A top-down approach and a decision support system for the design and management of logistic networks. Transportation Research Part E: Logistics and Transportation Review 48, 6, 1185–1204.spa
dc.relation.referencesMelo, M.T., Nickel, S., da Gama, F.S., 2009. Facility location and supply chain management: a review. European Journal of Operational Research 196, 2, 401–412.spa
dc.relation.referencesMete, H.O., Zabinsky, Z.B., 2010. Stochastic optimization of medical supply location and distribution in disaster management. International Journal of Production Economics 126, 1, 76–84.spa
dc.relation.referencesNishi, T., Isoya, Y., Inuiguchi, M., 2011. An integrated column generation and lagrangian relaxation for solving flowshop problems to minimize the total weighted tardiness. International Journal of Innovative Computing, Information and Control 7, 11, 6453–6471.spa
dc.relation.referencesPrins, C., Prodhon, C., Ruiz, A., Soriano, P., Wolfler Calvo, R., 2007. Solving the capacitated location-routing problem by a cooperative Lagrangean relaxation-granular tabu search heuristic. Transportation Science 41, 4, 470–483.spa
dc.relation.referencesPrins, C., Prodhon, C., Wolfer-Calvo, R., 2006. Solving the capacitated location-routing problem by a GRASP complemented by a learning process and a path relinking. 4OR: A Quarterly Journal of Operations Research 4, 221–238.spa
dc.relation.referencesProdhon, C., Prins, C., 2014. A survey of recent research on location-routing problems. European Journal of Operational Research. In Press. doi: http://dx.doi.org/10.1016/j.ejor.2014.01.005spa
dc.relation.referencesRaidl, G., Puchinger, J., 2008. Combining (integer) linear programming techniques and metaheuristics for combinatorial optimization. Hybrid Metaheuristics 114, 31–62.spa
dc.relation.referencesSajjadi, S.R., Cheraghi, S.H., 2011. Multi-products location-routing problem integrated with inventory under stochastic demand. International Journal of Industrial and Systems Engineering 7, 4, 454–476.spa
dc.relation.referencesSalhi, S., Rand, G.K., 1989. The effect of ignoring routes when locating depots. European Journal of Operational Research 39, 2, 150–156.spa
dc.relation.referencesShen, Z.-J.M., Qi, L., 2007. Incorporating inventory and routing costs in strategic location models. European Journal of Operational Research 179, 2, 372–389.spa
dc.relation.referencesWagner, H.M., Whitin, T.M., 1958. Dynamic version of the economic lot size model. Management Science 5, 1, 89–96.spa
dc.rights.accessrightsinfo:eu-repo/semantics/closedAccessspa
dc.subject.armarcGestión de la cadena de suministrosspa
dc.subject.armarcSupply chain managementeng
dc.subject.armarcControl de inventariosspa
dc.subject.armarcLogística empresarialspa
dc.subject.proposalinventory-location-routing problemeng
dc.subject.proposalLagrangian relaxation;eng
dc.subject.proposalcolumn generationeng
dc.subject.proposalsupply chain designeng
dc.subject.proposalvehicle routing problemeng
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


Ficheros en el ítem

Thumbnail

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem