Hybrid Heuristic for the Inventory Location-Routing Problem
Resolver el problema de localización y ruteo de inventarios optimiza simultáneamente el diseño de la cadena de suministro y sus costos operacionales. Los supuestos del modelo incluyen el hecho que los vehículos pueden visitar más de un cliente por ruta y se incluyen las decisiones de inventario para...
- Autores:
-
Guerrero, W.J.
Prodhon, C.
Velasco, N.
Amaya, C.A.
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2013
- Institución:
- Escuela Colombiana de Ingeniería Julio Garavito
- Repositorio:
- Repositorio Institucional ECI
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.escuelaing.edu.co:001/1918
- Acceso en línea:
- https://repositorio.escuelaing.edu.co/handle/001/1918
- Palabra clave:
- Control de la producción
Control de inventarios
Logística empresarial
Production control
Inventory control
Business logistics
Location-Routing Problem
Inventory-Routing Problem
Hybrid Heuristic
Combinatorial Optimization
- Rights
- closedAccess
- License
- http://purl.org/coar/access_right/c_14cb
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| dc.title.eng.fl_str_mv |
Hybrid Heuristic for the Inventory Location-Routing Problem |
| title |
Hybrid Heuristic for the Inventory Location-Routing Problem |
| spellingShingle |
Hybrid Heuristic for the Inventory Location-Routing Problem Control de la producción Control de inventarios Logística empresarial Production control Inventory control Business logistics Location-Routing Problem Inventory-Routing Problem Hybrid Heuristic Combinatorial Optimization |
| title_short |
Hybrid Heuristic for the Inventory Location-Routing Problem |
| title_full |
Hybrid Heuristic for the Inventory Location-Routing Problem |
| title_fullStr |
Hybrid Heuristic for the Inventory Location-Routing Problem |
| title_full_unstemmed |
Hybrid Heuristic for the Inventory Location-Routing Problem |
| title_sort |
Hybrid Heuristic for the Inventory Location-Routing Problem |
| dc.creator.fl_str_mv |
Guerrero, W.J. Prodhon, C. Velasco, N. Amaya, C.A. |
| dc.contributor.author.none.fl_str_mv |
Guerrero, W.J. Prodhon, C. Velasco, N. Amaya, C.A. |
| dc.contributor.researchgroup.spa.fl_str_mv |
Manufactura y Servicios |
| dc.subject.armarc.spa.fl_str_mv |
Control de la producción Control de inventarios Logística empresarial |
| topic |
Control de la producción Control de inventarios Logística empresarial Production control Inventory control Business logistics Location-Routing Problem Inventory-Routing Problem Hybrid Heuristic Combinatorial Optimization |
| dc.subject.armarc.eng.fl_str_mv |
Production control Inventory control Business logistics |
| dc.subject.proposal.eng.fl_str_mv |
Location-Routing Problem Inventory-Routing Problem Hybrid Heuristic Combinatorial Optimization |
| description |
Resolver el problema de localización y ruteo de inventarios optimiza simultáneamente el diseño de la cadena de suministro y sus costos operacionales. Los supuestos del modelo incluyen el hecho que los vehículos pueden visitar más de un cliente por ruta y se incluyen las decisiones de inventario para un sistema con múltiples depósitos, con múltiples puntos de venta para un horizonte de planeación discreto. El problema es determinar el conjunto de depósitosporabrir, las cantidades por enviar desde los proveedores a los depósitos y de los depósitos a los puntos de venta, y la secuencia en que los puntos de venta serán visitados por una flota de vehículos homogénea. Un modelo de programación entera-mixta se propone para describir el problema. Un método hibrido que involucra un enfoque exacto dentro de un esquema heurístico es presentado. Su desempeño se prueba con instancias del problema de localizacion y ruteo, y de ruteo de inventarios. |
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2013 |
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2013 |
| dc.date.accessioned.none.fl_str_mv |
2021-12-10T15:40:30Z |
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2021-12-10T15:40:30Z |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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http://purl.org/coar/resource_type/c_6501 |
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Text |
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info:eu-repo/semantics/article |
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eng |
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eng |
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370 |
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1 |
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146 |
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N/A |
| dc.relation.ispartofjournal.eng.fl_str_mv |
International Journal of Production Economics |
| dc.relation.references.spa.fl_str_mv |
Ambrosino,D., Scutellà, M.G. (2005), Distribution network design: New problems and related models. European Journal of Operational Research, 165(3):610-624. Archetti, C., Bertazzi, L., Hertz, A. and Speranza. M.G. (2011) A hybrid heuristic for an inventory routing problem. INFORMS Journal on Computing, 1:1-16. Archetti, C., Bertazzi, L., Laporte, G. and Speranza. M.G. (2007) A branch-and-cut algorithm for a vendor-managed inventory-routing problem. Transportation Science, 41(3):382-391. Armentano, V., Shiguemoto, A. and Lokketangen, A. (2011) Tabu search with path relinking for an integrated production distribution problem. Computers & Operations Research, 38(8):1199-1209. Belenguer, J.-M., Benavent, E., Prins, C., Prodhon, C. and Wolfler-Calvo , R. (2011) A branch-and-cut method for the capacitated location-routing problem. Computers & Operations Research, 38(6):931- 941. [6] Bertazzi, L., Paletta, G. and Speranza, M.G. (2002) Deterministic order-up-to level policies in an inventory routing problem. Transportation Science, 36(1):119-132. Boudia, M. and Prins, C. (2009) A memetic algorithm with dynamic population management for an integrated production-distribution problem. European Journal of Operational Research, 195(3):703-715. Clarke, G. and Wright, J. (1964). Scheduling of vehicles from a central depot to a umber of delivery points. Operations Research, 12(4):568-581. Guerrero, W., Prodhon, C., Velasco, N. and Amaya, C.A. (2011) A matheuristic for the inventory location routing problem with deterministic demand. In MIC 2011 (Metaheuristics International Conference), Udine, Italie. Guerrero, W., Prodhon, C., Velasco, N. and Amaya, C.A. (2012) Hybrid heuristic for the inventory location-routing problem with deterministic demand. In 5th International Workshop on Freight Transportation and Logistics, Mykonos, Greece. Hansen, P. and Mladenovic, N. (2003) Variable neighborhood search. In F. Glover and G. Kochenberger, editors, Handbook of Metaheuristics, volume 57 of International Series in Operations Research & Management Science, pages 145-184. Springer New York. Javid, A. and 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. Liu, S. and Lin, C. (2005) A heuristic method for the combined location routing and inventory problem. The International Journal of Advanced Manufacturing Technology, 26:372-381. Lourenço, H., Martin, O. and Stützle, T. (2003) Iterated local search. In F. Glover and G. Kochenberger, editors, Handbook of Metaheuristics, volume 57 of International Series in Operations Research & Management Science, pages 320-353. Springer New York. Ma, H. and Davidrajuh, R. (2005) An iterative approach for distribution chain design in agile virtual environment. Industrial Management & Data Systems, 105(6):815-834. Melo, M., Nickel, S. and da Gama, F.S. (2009) Facility location and supply chain management: A review. European Journal of Operational Research, 196(2):401-412009. Prins, C. Prodhon, C. Ruiz, A. Soriano, P. and Wolfler-Calvo, R. (2007) Solving the capacitated location-routing problem by a cooperative lagrangean relaxationgranular tabu search heuristic. Transportation Science, 41(4):470-483. Prins, C., Prodhon, C., and Wolfler-Calvo, R. (2006) Solving the capacitated locationrouting problem by a GRASP complemented by a learning process and a path relinking. 4OR: A Quarterly Journal of Operations Research, 4:221-238. Raidl, G. and Puchinger, J. (2008). Combining (integer) linear programming techniques and metaheuristics for combinatorial optimization. In C. Blum, M. Aguilera, A. Roli, and M. Sampels, editors, Hybrid Metaheuristics, volume 114 of Studies in Computational Intelligence, pages 31{62. Springer Berlin / Heidelberg. Salhi, S. and Rand, G. (1989) . The effect of ignoring routes when locating depots. European Journal of Operational Research, 39(2):150-156. Toth P. and Vigo D.(2001) editors. The vehicle routing problem. Society for Industrial and Applied Mathematics, Philadelphia, PA, USA. |
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Guerrero, W.J.923b78188e9ad77519292f9493683887600Prodhon, C.5bf61f5d5cf07c8def51723051c7dd1b600Velasco, N.d0ff82fc3ece11767faf502e7f9aa285600Amaya, C.A.7291996d8fe9af14fe2f68a65f49048d600Manufactura y Servicios2021-12-10T15:40:30Z2021-12-10T15:40:30Z20131619450009255273https://repositorio.escuelaing.edu.co/handle/001/1918Resolver el problema de localización y ruteo de inventarios optimiza simultáneamente el diseño de la cadena de suministro y sus costos operacionales. Los supuestos del modelo incluyen el hecho que los vehículos pueden visitar más de un cliente por ruta y se incluyen las decisiones de inventario para un sistema con múltiples depósitos, con múltiples puntos de venta para un horizonte de planeación discreto. El problema es determinar el conjunto de depósitosporabrir, las cantidades por enviar desde los proveedores a los depósitos y de los depósitos a los puntos de venta, y la secuencia en que los puntos de venta serán visitados por una flota de vehículos homogénea. Un modelo de programación entera-mixta se propone para describir el problema. Un método hibrido que involucra un enfoque exacto dentro de un esquema heurístico es presentado. Su desempeño se prueba con instancias del problema de localizacion y ruteo, y de ruteo de inventarios.Solving the Inventory Location-Routing Problem can been seen as an approach to optimize both a supply chain design and its operations costs. Assumptions consider that vehicles might visit more than one retailer per route and that inventory management decisions are included for a multi-depot, multi-retailer system with storage capacity over a discrete time planning horizon. The problem is to determine the set of candidate depots to open, the quantities to ship from suppliers to depots and from depots to retailers per period, and the sequence in which retailers are replenished by an homogeneous capacitated fleet of vehicles. A mixed-integer linear programming model is proposed to describe the problem. Since the model is not able to solve exactly the targeted instances within a reasonable computation time, a hybrid method, embedding an exact approach within a heuristic scheme, is presented. Its performance is tested over instances for the inventory location routing, location-routing and inventory-routing problems.11 páginasapplication/pdfengElsevier B.V.Hybrid Heuristic for the Inventory Location-Routing ProblemArtículo de revistainfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a853701359146N/AInternational Journal of Production EconomicsAmbrosino,D., Scutellà, M.G. (2005), Distribution network design: New problems and related models. European Journal of Operational Research, 165(3):610-624.Archetti, C., Bertazzi, L., Hertz, A. and Speranza. M.G. (2011) A hybrid heuristic for an inventory routing problem. INFORMS Journal on Computing, 1:1-16.Archetti, C., Bertazzi, L., Laporte, G. and Speranza. M.G. (2007) A branch-and-cut algorithm for a vendor-managed inventory-routing problem. Transportation Science, 41(3):382-391.Armentano, V., Shiguemoto, A. and Lokketangen, A. (2011) Tabu search with path relinking for an integrated production distribution problem. Computers & Operations Research, 38(8):1199-1209.Belenguer, J.-M., Benavent, E., Prins, C., Prodhon, C. and Wolfler-Calvo , R. (2011) A branch-and-cut method for the capacitated location-routing problem. Computers & Operations Research, 38(6):931- 941. [6]Bertazzi, L., Paletta, G. and Speranza, M.G. (2002) Deterministic order-up-to level policies in an inventory routing problem. Transportation Science, 36(1):119-132.Boudia, M. and Prins, C. (2009) A memetic algorithm with dynamic population management for an integrated production-distribution problem. European Journal of Operational Research, 195(3):703-715.Clarke, G. and Wright, J. (1964). Scheduling of vehicles from a central depot to a umber of delivery points. Operations Research, 12(4):568-581.Guerrero, W., Prodhon, C., Velasco, N. and Amaya, C.A. (2011) A matheuristic for the inventory location routing problem with deterministic demand. In MIC 2011 (Metaheuristics International Conference), Udine, Italie.Guerrero, W., Prodhon, C., Velasco, N. and Amaya, C.A. (2012) Hybrid heuristic for the inventory location-routing problem with deterministic demand. In 5th International Workshop on Freight Transportation and Logistics, Mykonos, Greece.Hansen, P. and Mladenovic, N. (2003) Variable neighborhood search. In F. Glover and G. Kochenberger, editors, Handbook of Metaheuristics, volume 57 of International Series in Operations Research & Management Science, pages 145-184. Springer New York.Javid, A. and 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.Liu, S. and Lin, C. (2005) A heuristic method for the combined location routing and inventory problem. The International Journal of Advanced Manufacturing Technology, 26:372-381.Lourenço, H., Martin, O. and Stützle, T. (2003) Iterated local search. In F. Glover and G. Kochenberger, editors, Handbook of Metaheuristics, volume 57 of International Series in Operations Research & Management Science, pages 320-353. Springer New York.Ma, H. and Davidrajuh, R. (2005) An iterative approach for distribution chain design in agile virtual environment. Industrial Management & Data Systems, 105(6):815-834.Melo, M., Nickel, S. and da Gama, F.S. (2009) Facility location and supply chain management: A review. European Journal of Operational Research, 196(2):401-412009.Prins, C. Prodhon, C. Ruiz, A. Soriano, P. and Wolfler-Calvo, R. (2007) Solving the capacitated location-routing problem by a cooperative lagrangean relaxationgranular tabu search heuristic. Transportation Science, 41(4):470-483.Prins, C., Prodhon, C., and Wolfler-Calvo, R. (2006) Solving the capacitated locationrouting problem by a GRASP complemented by a learning process and a path relinking. 4OR: A Quarterly Journal of Operations Research, 4:221-238.Raidl, G. and Puchinger, J. (2008). Combining (integer) linear programming techniques and metaheuristics for combinatorial optimization. In C. Blum, M. Aguilera, A. Roli, and M. Sampels, editors, Hybrid Metaheuristics, volume 114 of Studies in Computational Intelligence, pages 31{62. Springer Berlin / Heidelberg.Salhi, S. and Rand, G. (1989) . The effect of ignoring routes when locating depots. European Journal of Operational Research, 39(2):150-156.Toth P. and Vigo D.(2001) editors. The vehicle routing problem. 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