MODELOS LOGÍSTICOS APLICADOS EN LA DISTRIBUCIÓN URBANA DE MERCANCÍAS

MODELOS LOGÍSTICOS APLICADOS EN LA DISTRIBUCIÓN URBANA DE MERCANCÍAS

Este artículo presenta una clasificación de los modelos logísticos que se han desarrollado para dar solución a los problemas de integración, coordinación, sostenibilidad y movilidad que surgen en la distribución urbana de mercancías (DUM). La búsqueda de la mejora y optimización de los procesos en los sistemas de distribución de bienes y servicios en zonas urbanas ha crecido en los últimos años debido al aumento de la población y el incremento de la congestión vehicular, que se dan en las grandes ciudades, dificultando el logro de objetivos comunes entre los diferentes actores en DUM entre otros, por la alta complejidad que se presenta. Para este artículo, se realizó una revisión amplia y actualizada en la literatura científica sobre el tem... Ver más

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Revista EIA

1794-1237

2463-0950

Serna Urán, Conrado Augusto

Gómez Marín, Cristian Giovanny

Arango Serna, Martín Dario

UNIVERSIDAD EIA

10.24050/reia.v14i28.1055

14

2017-11-02

57

76

Colombia

Distribución urbana de mercancía

Logística de ciudad

Modelos logísticos

Logística

cadena de suministro

Distribución

Transporte

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Revista EIA - 2018

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Makhloufi, R., Cattaruzza, D., Meunier, F., Absi, N. y Feillet, D. (2015) ‘Simulation of Mutualized Urban Logistics Systems with Real-time Management’, Transportation Research Procedia. Elsevier, 6, pp. 365–376. doi: 10.1016/j.trpro.2015.03.027.
Nuzzolo, A. y Comi, A. (2014) ‘Urban freight demand forecasting: A mixed quantity/delivery/vehicle-based model’, Transportation Research Part E: Logistics and Transportation Review, 65, pp. 84–98. doi: 10.1016/j.tre.2013.12.014.
Nguyen, V. P., Prins, C. y Prodhon, C. (2012) ‘Solving the two-echelon location routing problem by a GRASP reinforced by a learning process and path relinking’, European Journal of Operational Research. Elsevier B.V., 216(1), pp. 113–126. doi: 10.1016/j.ejor.2011.07.030.
Muñuzuri, J., Cortés, P., Onieva, L. y Guadix, J. (2012) ‘Estimation of daily vehicle flows for urban freight deliveries’, Journal of urban planning and development, 128(1), pp. 43–52.
Muñuzuri, J., Cortés, P., Onieva, L. y Guadix, J. (2009) ‘Modeling freight delivery flows: Missing link of urban transport analysis’, Journal of urban planning and development, 135(3), pp. 91–99.
Muñuzuri, J., Cortés, P., Guadix, J. y Onieva, L. (2012) ‘City logistics in Spain: Why it might never work’, Cities, 29(2), pp. 133–141. doi: 10.1016/j.cities.2011.03.004.
Muñuzuri, J. (2003) La logística urbana de mercancías : Soluciones , modelado y evaluación. Universidad de Sevilla.
Muñoz-Villamizar, A. F., Montoya-Torres, J. R. y Vega-Mejía, C. A. (2015) ‘Non-collaborative versus collaborative last-mile delivery in urban systems with stochastic demands’, in 7th Industrial Product-Service Systems Conference - PSS, industry transformation for sustainability and business. Elsevier, pp. 263–268. doi: 10.1016/j.procir.2015.02.147.
Muñoz-Villamizar, A. F., Montoya-Torres, J. R., Angel, J. A. y Cáceres-Cruz, J. (2013) ‘A simulation-based algorithm for the integrated location and routing problem in urban logistics’, in Pasupathy, R., Kim, S.-H., Tolk, A., Hill, R., and Kuhl, M. E. (eds) 2013 Winter simulation conference, pp. 2032–2041. doi: 10.1109/WSC.2013.6721581.
Montoya-Torres, J. R., Muñoz-Villamizar, A. F. y Vega-Mejía, C. A. (2016) ‘On the impact of collaborative strategies for goods delivery in city logistics’, Production Planning & Control: The Management of Operations, 27(6), pp. 443–455.
Melo, S. M. de B. M. (2010) Evaluation of urban goods distribution initiatives towards mobility and sustainability: indicators , stakeholders and assessment tools. Univeridade do Porto. Available at: https://repositorio-aberto.up.pt/bitstream/10216/59846/1/000140073.pdf.
Mańdziuk, J. y Żychowski, A. (2016) ‘A memetic approach to vehicle routing problem with dynamic requests’, Applied Soft Computing, 48, pp. 522–534. doi: 10.1016/j.asoc.2016.06.032.
Malhene, N., Trentini, A., Marques, G. y Burlat, P. (2012) ‘Freight consolidation centers for urban logistics solutions: The key role of interoperability’, IEEE International Conference on Digital Ecosystems and Technologies. doi: 10.1109/DEST.2012.6227939.
Liu, R., Xie, X., Augusto, V. y Rodriguez, C. (2013) ‘Heuristic algorithms for a vehicle routing problem with simultaneous delivery and pickup and time windows in home health care’, European Journal of Operational Research, 230, pp. 475–486. doi: 10.1016/j.ejor.2013.04.044.
Pillac, V., Gendreau, M., Guéret, C. y Medaglia, A. L. (2013) ‘A review of dynamic vehicle routing problems’, European Journal of Operational Research. Elsevier B.V., 225(1), pp. 1–11. doi: 10.1016/j.ejor.2012.08.015.
Lindholm, M. y Behrends, S. (2012) ‘Challenges in urban freight transport planning – a review in the Baltic Sea Region’, Journal of Transport Geography, 22, pp. 129–136. doi: 10.1016/j.jtrangeo.2012.01.001.
Lindawati, van S. J., Gohabc, M. y de Souza, R. (2014) ‘Collaboration in urban logistics: motivations and barriers’, International Journal of Urban Sciences, 18(2), pp. 278–290.
Lin, C. (2011) ‘A vehicle routing problem with pickup and delivery time windows, and coordination of transportable resources’, Computers and Operations Research. Elsevier, 38(11), pp. 1596–1609. doi: 10.1016/j.cor.2011.01.021.
Li, R., Qi, M., Cheng, C. y Lai, W. (2016) ‘Design of Dynamic Vehicle Routing System Based on Online Map Service’, in The 13th International Conference on Service Systems and Service Management. Kunming, China: IEEE, pp. 1–5. doi: 10.1109/ICSSSM.2016.7538425.
Li, J. Q., Mirchandani, P. B. y Borenstein, D. (2009) ‘A Lagrangian heuristic for the real-time vehicle rescheduling problem’, Transportation Research Part E: Logistics and Transportation Review. Elsevier Ltd, 45(3), pp. 419–433. doi: 10.1016/j.tre.2008.09.002.
Kuo, R. J., Wibowo, B. S. y Zulvia, F. E. (2016) ‘Application of a fuzzy ant colony system to solve the dynamic vehicle routing problem with uncertain service time’, Applied Mathematical Modelling. Elsevier Inc., 0, pp. 1–12. doi: 10.1016/j.apm.2016.06.025.
Koç, Ç., Bektaş, T., Jabali, O. y Laporte, G. (2016) ‘The impact of depot location, fleet composition and routing on emissions in city logistics’, Transportation Research Part B: Methodological, 84, pp. 81–102. doi: 10.1016/j.trb.2015.12.010.
Kim, G., Ong, Y. S., Heng, C. K., Tan, P. S. and Zhang, N. A. (2015) ‘City Vehicle Routing Problem (City VRP): A Review’, IEEE Transactions on Intelligent Transportation Systems, 16(4), pp. 1654–1666. doi: 10.1109/TITS.2015.2395536.
Holguín-Veras, J. y Sánchez-Díaz, I. (2016) ‘Freight Demand Management and the Potential of Receiver-Led Consolidation programs’, Transportation Research Part A: Policy and Practice, 84, pp. 109–130. doi: 10.1016/j.tra.2015.06.013.
Hemmelmayr, V. C., Cordeau, J.-F. y Crainic, T. G. (2012) ‘An adaptive large neighborhood search heuristic for Two-Echelon Vehicle Routing Problems arising in city logistics’, Computers & Operations Research, 39(12), pp. 3215–3228. doi: 10.1016/j.cor.2012.04.007.
Guerlain, C., Cortina, S. y Renault, S. (2016) ‘Towards a Collaborative Geographical Information System to Support Collective Decision Making for Urban Logistics Initiative’, Transportation Research Procedia. Elsevier, 12, pp. 634–643. doi: 10.1016/j.trpro.2016.02.017.
Guedria, M., Malhene, N. y Deschamps, J.-C. (2016) ‘Urban Freight Transport: From Optimized Routes to Robust Routes’, Transportation Research Procedia. Elsevier B.V., 12(June 2015), pp. 413–424. doi: 10.1016/j.trpro.2016.02.076.
Gonzalez-Feliu, J. and Muñuzuri, J. (2013) ‘Decision - making tools and procedures for City Logistics’, European Transport, (54), pp. 1–3.
Palacio-León, O. y Adarme Jaimes, W. (2014) ‘Coordinación de inventarios: Un caso de estudio para la logística de ciudad’, DYNA, 81(186), pp. 295–303.
Quak, H. . y De Koster, M. B. . (2009) ‘Delivering goods in urban areas: how to deal with urban policy resctrictions and the enviroment.pdf’, Transportation Science, 43(2), pp. 211–227.
Gammelgaard, B. (2015) ‘The emergence of city logistics: the case of Copenhagen’s Citylogistik-kbh’, International Journal of Physical Distribution & Logistics Management, 45(4), pp. 333–351. doi: http://dx.doi.org/10.1108/IJPDLM-12-2014-0291.
Yan, S., Lin, J. R. y Lai, C. W. (2013) ‘The planning and real-time adjustment of courier routing and scheduling under stochastic travel times and demands’, Transportation Research Part E: Logistics and Transportation Review. Elsevier Ltd, 53(1), pp. 34–47. doi: 10.1016/j.tre.2013.01.011.
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Zufferey, N., Cho, B. Y. y Glardon, R. (2016) ‘Dynamic Multi-trip Vehicle Routing with Unusual Time-windows for the Pick-up of Blood Samples and Delivery of Medical Material’, Proceedings of 5th the International Conference on Operations Research and Enterprise Systems, (Icores), pp. 366–372. doi: 10.5220/0005733303660372.
Zhu, L., Rousseau, L. M., Rei, W. y Li, B. (2014) ‘Paired cooperative reoptimization strategy for the vehicle routing problem with stochastic demands’, Computers and Operations Research, 50, pp. 1–13. doi: 10.1016/j.cor.2014.03.027.
Zhang, J., Lam, W. H. K. y Chen, B. Y. (2016) ‘On-time delivery probabilistic models for the vehicle routing problem with stochastic demands and time windows’, European Journal of Operational Research. Elsevier Ltd., 249(1), pp. 144–154. doi: 10.1016/j.ejor.2015.08.050.
Yang, Z., van Osta, J.-P., van Veen, B., van Krevelen, R., van Klaveren, R., Stam, A., Kok, J., Bäck, T. y Emmerich, M. (2016) ‘Dynamic vehicle routing with time windows in theory and practice’, Natural Computing. doi: 10.1007/s11047-016-9550-9.
Woudsma, C., Jensen, J. F., Kanaroglou, P. y Maoh, H. (2008) ‘Logistics land use and the city: A spatial–temporal modeling approach’, Transportation Research Part E: Logistics and Transportation Review, 44(2), pp. 277–297. doi: 10.1016/j.tre.2007.07.006.
Qureshi, A. G., Taniguchi, E. y Yamada, T. (2009) ‘An exact solution approach for vehicle routing and scheduling problems with soft time windows’, Transportation Research Part E: Logistics and Transportation Review, 45(6), pp. 960–977. doi: 10.1016/j.tre.2009.04.007.
United Nations Department of Economic and Social Affairs (2014) World Urbanization Prospects, World Urbanization Prospects. 2014 Revision. Highlights. doi: 10.4054/DemRes.2005.12.9.
Taniguchi, E., Thompson, R. G., Yamada, T. y Van Duin, J. H. . (2001) City logistics: Network modelling and intelligent transport systems. Elsevier Science.
Taniguchi, E., Thompson, R. G. y Yamada, T. (2016) ‘New Opportunities and Challenges for City Logistics’, Transportation Research Procedia. Elsevier B.V., 12(June 2015), pp. 5–13. doi: 10.1016/j.trpro.2016.02.004.
Taniguchi, E., Thompson, R. G. y Yamada, T. (2014) ‘Recent Trends and Innovations in Modelling City Logistics’, Procedia - Social and Behavioral Sciences. Elsevier B.V., 125, pp. 4–14. doi: 10.1016/j.sbspro.2014.01.1451.
Taniguchi, E. (2015) ‘City Logistics for Sustainable and Liveable Cities’, in Green Logistics and Transportation, pp. 49–60. doi: 10.1007/978-3-319-17181-4_4.
Taniguchi, E. (2014) ‘Concepts of City Logistics for Sustainable and Liveable Cities’, Procedia - Social and Behavioral Sciences. Elsevier, 151, pp. 310–317. doi: 10.1016/j.sbspro.2014.10.029.
Tadić, S., Zečević, S. y Krstić, M. (2015) ‘City Logistics – Status and Trends’, International Journal for Traffic and Transport Engineering, 5(3), pp. 319–343. doi: http://dx.doi.org/10.7708/ijtte.2015.5(3).09.
Tadić, S., Zečević, S. y Krstić, M. (2014) ‘Ranking of Logistics System Scenarios for Central Business District’, Promet-Traffic & Transportation, 26(2), pp. 159–167. doi: 10.7307/ptt.v26i2.1349.
Sun, S. C., Duan, Z. Y. y Chen, C. (2014) ‘Freight Transport Demand Forecasting in Urban Logistics Planning: A Case Study of Yiwu City’, Applied Mechanics and Materials, 505–506, pp. 915–921. doi: 10.4028/www.scientific.net/AMM.505-506.915.
Schliwa, G., Armitage, R., Aziz, S., Evans, J. y Rhoades, J. (2015) ‘Sustainable city logistics — Making cargo cycles viable for urban freight transport’, Research in Transportation Business & Management, 15, pp. 50–57. doi: 10.1016/j.rtbm.2015.02.001.
Sanz, G., Pastor, R. y Benedito, E. (2013) ‘Distribución urbana de mercancías: Descripción y clasificación de soluciones existentes e implementación de dos soluciones novedosas’, DYNA, 80(179), pp. 6–13. Available at: http://www.scopus.com/inward/record.url?eid=2-s2.0-84879151133&partnerID=tZOtx3y1.
Russo, F. y Comi, A. (2011) ‘A model system for the ex-ante assessment of city logistics measures’, Research in Transportation Economics. Elsevier Ltd, 31(1), pp. 81–87. doi: 10.1016/j.retrec.2010.11.011.
Qureshi, A. G., Taniguchi, E. y Yamada, T. (2012) ‘A Microsimulation Based Analysis of Exact Solution of Dynamic Vehicle Routing with Soft Time Windows’, Procedia - Social and Behavioral Sciences, 39, pp. 205–216. doi: 10.1016/j.sbspro.2012.03.102.
Gonzalez-Feliu, J. y Morana, J. (2014) ‘Assessing Urban Logistics Pooling Sustainability via a Hierarchic Dashboard from a Group Decision Perspective’, in Sustainable Logistics, pp. 113–135. doi: 10.1108/S2044-994120140000006004.
Figliozzi, M. A. (2010) ‘The impacts of congestion on commercial vehicle tour characteristics and costs’, Transportation Research Part E: Logistics and Transportation Review. Elsevier Ltd, 46(4), pp. 496–506. doi: 10.1016/j.tre.2009.04.005.
Publication
Serna Urán, Conrado Augusto
Antún, J. P. (2013) Distribución Urbana de Mercancías: Estrategias con Centros Logísticos, IDB Technical Note.
Ambrosini, C., Patier, D. y Routhier, J. L. (2010) ‘Urban freight establishment and tour based surveys for policy oriented modelling’, Procedia - Social and Behavioral Sciences, 2(3), pp. 6013–6026. doi: 10.1016/j.sbspro.2010.04.015.
Este artículo presenta una clasificación de los modelos logísticos que se han desarrollado para dar solución a los problemas de integración, coordinación, sostenibilidad y movilidad que surgen en la distribución urbana de mercancías (DUM). La búsqueda de la mejora y optimización de los procesos en los sistemas de distribución de bienes y servicios en zonas urbanas ha crecido en los últimos años debido al aumento de la población y el incremento de la congestión vehicular, que se dan en las grandes ciudades, dificultando el logro de objetivos comunes entre los diferentes actores en DUM entre otros, por la alta complejidad que se presenta. Para este artículo, se realizó una revisión amplia y actualizada en la literatura científica sobre el tema, posteriormente se realizó una categorización de los modelos utilizados en la DUM y las técnicas utilizadas en estos modelos, por último se presentan las tendencias actuales y posibles soluciones futuras en el modelado de los problemas en esta área de investigación.
Figliozzi, M. A. (2010) ‘An iterative route construction and improvement algorithm for the vehicle routing problem with soft time windows’, Transportation Research Part C: Emerging Technologies. Elsevier Ltd, 18(5), pp. 668–679. doi: 10.1016/j.trc.2009.08.005.
Revista EIA - 2018
https://creativecommons.org/licenses/by-nc-sa/4.0/
Español
Gómez Marín, Cristian Giovanny
Arango Serna, Martín Dario
https://revistas.eia.edu.co/index.php/reveia/article/view/1055
Distribución urbana de mercancía
Arango-Serna, M. D., Serna-Uran, C. A. y Alvarez Uribe, K. C. (2012) ‘Collaborative autonomous systems in models of urban logistics’, DYNA, 79(172), pp. 171–179.
Revista EIA
Fondo Editorial EIA - Universidad EIA
application/pdf
Logística de ciudad
Modelos logísticos
Logística
cadena de suministro
Artículo de revista
28
14
Arango-Serna, M. D., Romano, C. A. y Zapata Cortés, J. A. (2016) ‘Collaborative goods distribution using the IRP model’, DYNA, 83(196), pp. 204–212. doi: 10.15446/dyna.v83n196.52492.
Arango-Serna, M. D., Zapata Cortés, J. A. y Gutierrez, D. (2015) ‘Modeling The Inventory Routing Problem ( IRP ) With Multiple Depots With Genetic Algorithms’, IEEE Latin America Transactions, 13(12), pp. 3959–3965.
Distribución
Crainic, T. G., Ricciardi, N. y Storchi, G. (2004) ‘Advanced freight transportation systems for congested urban areas’, Transportation Research Part C: Emerging Technologies, 12(2), pp. 119–137. doi: 10.1016/j.trc.2004.07.002.
Faure, L., Battaia, G., Marques, G., Guillaume, R., Vega-Mejía, C. A., Montoya-Torres, J. R., Muñoz-Villamizar, A. F. y Quintero-Araújo, C. L. (2013) ‘How to anticipate the level of activity of a sustainable collaborative network: The case of urban freight delivery through logistics platforms’, in Digital Ecosystems and Technologies (DEST), 2013 7th IEEE International Conference on, pp. 126–131. doi: 10.1109/DEST.2013.6611341.
Fatnassi, E., Chaouachi, J. y Klibi, W. (2015) ‘Planning and operating a shared goods and passengers on-demand rapid transit system for sustainable city-logistics’, Transportation Research Part B: Methodological, 81, pp. 440–460. doi: 10.1016/j.trb.2015.07.016.
Faccio, M. y Gamberi, M. (2015) ‘New City Logistics Paradigm: From the “Last Mile” to the “Last 50 Miles” Sustainable Distribution’, Sustainability. Multidisciplinary Digital Publishing Institute, 7(11), pp. 14873–14894. doi: 10.3390/su71114873.
Ehmke, J. F., Steinert, A. y Mattfeld, D. C. (2012) ‘Advanced routing for city logistics service providers based on time-dependent travel times’, Journal of Computational Science. Elsevier B.V., 3(4), pp. 193–205. doi: 10.1016/j.jocs.2012.01.006.
Ehmke, J. F. (2012) Integration of Information and Optimization Models for Routing in City Logistics. Internatio. Edited by F. S. Hillier and C. C. Price. New York: Springer International Publishing. doi: 10.1007/978-1-4614-0806-2.
Domínguez, A. (2013) Modelización del comportamiento de los comerciantes ante nuevas políticas de reparto urbano de mercancías. Universidad de Cantabria.
Deflorio, F., Gonzalez-Feliu, J., Perboli, G. y Tadei, R. (2012) ‘The influence of time windows on the costs of urban freight distribution services in city logistics applications’, European Journal of Transport and Infrastructure Research, 12(3), pp. 256–274.
Davis, B. A. y Figliozzi, M. A. (2013) ‘A methodology to evaluate the competitiveness of electric delivery trucks’, Transportation Research Part E: Logistics and Transportation Review. Elsevier Ltd, 49(1), pp. 8–23. doi: 10.1016/j.tre.2012.07.003.
Dablanc, L. (2007) ‘Goods transport in large European cities: Difficult to organize, difficult to modernize’, Transportation Research Part A: Policy and Practice, 41(3), pp. 280–285. doi: 10.1016/j.tra.2006.05.005.
Crainic, T. G., Ricciardi, N. y Storchi, G. (2007) ‘Models for Evaluating and Planning City Logistics Systems’, Transportation Science, 43(4), pp. 432–454. doi: 10.1287/trsc.1090.0279.
Crainic, T. G., Gendreau, M. y Jean-Yves, P. (2009) ‘Intelligent freight-transportation systems: Assessment and the contribution of operations research’, Transportation Research Part C: Emerging Technologies., 17(6), pp. 541–557.
Awasthi, A., Adetiloye, T. y Crainic, T. G. (2016) ‘Collaboration partner selection for city logistics planning under municipal freight regulations’, Applied Mathematical Modelling, 40, pp. 510–525. doi: 10.1016/j.apm.2015.04.058.
Comi, A., Site, P. D. y Filippi, F. (2012) ‘Urban Freight Transport Demand Modelling : a State of the Art’, European Transport/Trasporti Europei, 7(51), pp. 1–17.
Chen, H. K., Hsueh, C. F. y Chang, M. S. (2006) ‘The real-time time-dependent vehicle routing problem’, Transportation Research Part E: Logistics and Transportation Review, 42(5), pp. 383–408. doi: 10.1016/j.tre.2005.01.003.
Chac Sam, A.-V. (2010) Gestión dinámica de rutas en la distribución urbana de mercancías. Universidad Politecnica de Cataluña.
Castrellón, J. P., García, J. L. y Adarme Jaimes, W. (2015) ‘Consolidación de carga como mecanismo de coordinación en cadenas de suministro de perecederos: Estudio de simulación Resumen’, DYNA, 82(189), pp. 233–242. doi: 10.15446/dyna.v82n189.48551.
Camargo, J., Carrillo, M. H. y Montoya-Torres, J. R. (2015) ‘Multi-criteria approaches for urban passenger transport systems: a literature review’, Annals of operations research, 226(1), pp. 69–87.
Brito, J. A. (2011) Optimización de rutas de distribución con información y restricciones difusas. Universidad de Laguna.
Bozzo, R., Conca, A. y Marangon, F. (2014) ‘Decision support system for city logistics: Literature review, and guidelines for an ex-ante model’, Transportation Research Procedia. Elsevier B.V., 3(July), pp. 518–527. doi: 10.1016/j.trpro.2014.10.033.
Boussier, J., Cucu, T., Ion, L. y Breuil, D. (2011) ‘Simulation of goods delivery process’, International Journal of Physical Distribution & Logistics Management, 41(9), pp. 913–930.
Behrends, S., Lindholm, M. y Woxenius, J. (2008) ‘The impact of urban freight transport: A definition of sustainability from an actor’s perspective’, Transport Planning and Technology, 31(6), pp. 693–713.
Behrends, S. (2016) ‘Recent Developments in Urban Logistics Research – A Review of the Proceedings of the International Conference on City Logistics 2009 – 2013’, Transportation Research Procedia. Elsevier B.V., 12, pp. 278–287. doi: 10.1016/j.trpro.2016.02.065.
Barceló, J., Grzybowska, H. y Pardo, S. (2007) ‘Vehicle routing and scheduling models, simulation and city logistics’, in Zeimpekis, V., Tarantilis, C. ., Giaglis, G. ., and Minis, I. (eds) Dynamic Fleet Management; Concepts, Systems, Algorithms and Case Studies. US: Springer, pp. 163–195. doi: 10.1007/978-0-387-71722-7_8.
Transporte
MODELOS LOGÍSTICOS APLICADOS EN LA DISTRIBUCIÓN URBANA DE MERCANCÍAS
Journal article
https://revistas.eia.edu.co/index.php/reveia/article/download/1055/1154
2017-11-02 00:00:00
2017-11-02 00:00:00
2017-11-02
1794-1237
2463-0950
10.24050/reia.v14i28.1055
https://doi.org/10.24050/reia.v14i28.1055
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title MODELOS LOGÍSTICOS APLICADOS EN LA DISTRIBUCIÓN URBANA DE MERCANCÍAS
spellingShingle MODELOS LOGÍSTICOS APLICADOS EN LA DISTRIBUCIÓN URBANA DE MERCANCÍAS
Serna Urán, Conrado Augusto
Gómez Marín, Cristian Giovanny
Arango Serna, Martín Dario
Distribución urbana de mercancía
Logística de ciudad
Modelos logísticos
Logística
cadena de suministro
Distribución
Transporte
title_short MODELOS LOGÍSTICOS APLICADOS EN LA DISTRIBUCIÓN URBANA DE MERCANCÍAS
title_full MODELOS LOGÍSTICOS APLICADOS EN LA DISTRIBUCIÓN URBANA DE MERCANCÍAS
title_fullStr MODELOS LOGÍSTICOS APLICADOS EN LA DISTRIBUCIÓN URBANA DE MERCANCÍAS
title_full_unstemmed MODELOS LOGÍSTICOS APLICADOS EN LA DISTRIBUCIÓN URBANA DE MERCANCÍAS
title_sort modelos logísticos aplicados en la distribución urbana de mercancías
title_eng MODELOS LOGÍSTICOS APLICADOS EN LA DISTRIBUCIÓN URBANA DE MERCANCÍAS
description Este artículo presenta una clasificación de los modelos logísticos que se han desarrollado para dar solución a los problemas de integración, coordinación, sostenibilidad y movilidad que surgen en la distribución urbana de mercancías (DUM). La búsqueda de la mejora y optimización de los procesos en los sistemas de distribución de bienes y servicios en zonas urbanas ha crecido en los últimos años debido al aumento de la población y el incremento de la congestión vehicular, que se dan en las grandes ciudades, dificultando el logro de objetivos comunes entre los diferentes actores en DUM entre otros, por la alta complejidad que se presenta. Para este artículo, se realizó una revisión amplia y actualizada en la literatura científica sobre el tema, posteriormente se realizó una categorización de los modelos utilizados en la DUM y las técnicas utilizadas en estos modelos, por último se presentan las tendencias actuales y posibles soluciones futuras en el modelado de los problemas en esta área de investigación.
author Serna Urán, Conrado Augusto
Gómez Marín, Cristian Giovanny
Arango Serna, Martín Dario
author_facet Serna Urán, Conrado Augusto
Gómez Marín, Cristian Giovanny
Arango Serna, Martín Dario
topicspa_str_mv Distribución urbana de mercancía
Logística de ciudad
Modelos logísticos
Logística
cadena de suministro
Distribución
Transporte
topic Distribución urbana de mercancía
Logística de ciudad
Modelos logísticos
Logística
cadena de suministro
Distribución
Transporte
topic_facet Distribución urbana de mercancía
Logística de ciudad
Modelos logísticos
Logística
cadena de suministro
Distribución
Transporte
citationvolume 14
citationissue 28
publisher Fondo Editorial EIA - Universidad EIA
ispartofjournal Revista EIA
source https://revistas.eia.edu.co/index.php/reveia/article/view/1055
language Español
format Article
rights http://purl.org/coar/access_right/c_abf2
info:eu-repo/semantics/openAccess
Revista EIA - 2018
https://creativecommons.org/licenses/by-nc-sa/4.0/
references Makhloufi, R., Cattaruzza, D., Meunier, F., Absi, N. y Feillet, D. (2015) ‘Simulation of Mutualized Urban Logistics Systems with Real-time Management’, Transportation Research Procedia. Elsevier, 6, pp. 365–376. doi: 10.1016/j.trpro.2015.03.027.
Nuzzolo, A. y Comi, A. (2014) ‘Urban freight demand forecasting: A mixed quantity/delivery/vehicle-based model’, Transportation Research Part E: Logistics and Transportation Review, 65, pp. 84–98. doi: 10.1016/j.tre.2013.12.014.
Nguyen, V. P., Prins, C. y Prodhon, C. (2012) ‘Solving the two-echelon location routing problem by a GRASP reinforced by a learning process and path relinking’, European Journal of Operational Research. Elsevier B.V., 216(1), pp. 113–126. doi: 10.1016/j.ejor.2011.07.030.
Muñuzuri, J., Cortés, P., Onieva, L. y Guadix, J. (2012) ‘Estimation of daily vehicle flows for urban freight deliveries’, Journal of urban planning and development, 128(1), pp. 43–52.
Muñuzuri, J., Cortés, P., Onieva, L. y Guadix, J. (2009) ‘Modeling freight delivery flows: Missing link of urban transport analysis’, Journal of urban planning and development, 135(3), pp. 91–99.
Muñuzuri, J., Cortés, P., Guadix, J. y Onieva, L. (2012) ‘City logistics in Spain: Why it might never work’, Cities, 29(2), pp. 133–141. doi: 10.1016/j.cities.2011.03.004.
Muñuzuri, J. (2003) La logística urbana de mercancías : Soluciones , modelado y evaluación. Universidad de Sevilla.
Muñoz-Villamizar, A. F., Montoya-Torres, J. R. y Vega-Mejía, C. A. (2015) ‘Non-collaborative versus collaborative last-mile delivery in urban systems with stochastic demands’, in 7th Industrial Product-Service Systems Conference - PSS, industry transformation for sustainability and business. Elsevier, pp. 263–268. doi: 10.1016/j.procir.2015.02.147.
Muñoz-Villamizar, A. F., Montoya-Torres, J. R., Angel, J. A. y Cáceres-Cruz, J. (2013) ‘A simulation-based algorithm for the integrated location and routing problem in urban logistics’, in Pasupathy, R., Kim, S.-H., Tolk, A., Hill, R., and Kuhl, M. E. (eds) 2013 Winter simulation conference, pp. 2032–2041. doi: 10.1109/WSC.2013.6721581.
Montoya-Torres, J. R., Muñoz-Villamizar, A. F. y Vega-Mejía, C. A. (2016) ‘On the impact of collaborative strategies for goods delivery in city logistics’, Production Planning & Control: The Management of Operations, 27(6), pp. 443–455.
Melo, S. M. de B. M. (2010) Evaluation of urban goods distribution initiatives towards mobility and sustainability: indicators , stakeholders and assessment tools. Univeridade do Porto. Available at: https://repositorio-aberto.up.pt/bitstream/10216/59846/1/000140073.pdf.
Mańdziuk, J. y Żychowski, A. (2016) ‘A memetic approach to vehicle routing problem with dynamic requests’, Applied Soft Computing, 48, pp. 522–534. doi: 10.1016/j.asoc.2016.06.032.
Malhene, N., Trentini, A., Marques, G. y Burlat, P. (2012) ‘Freight consolidation centers for urban logistics solutions: The key role of interoperability’, IEEE International Conference on Digital Ecosystems and Technologies. doi: 10.1109/DEST.2012.6227939.
Liu, R., Xie, X., Augusto, V. y Rodriguez, C. (2013) ‘Heuristic algorithms for a vehicle routing problem with simultaneous delivery and pickup and time windows in home health care’, European Journal of Operational Research, 230, pp. 475–486. doi: 10.1016/j.ejor.2013.04.044.
Pillac, V., Gendreau, M., Guéret, C. y Medaglia, A. L. (2013) ‘A review of dynamic vehicle routing problems’, European Journal of Operational Research. Elsevier B.V., 225(1), pp. 1–11. doi: 10.1016/j.ejor.2012.08.015.
Lindholm, M. y Behrends, S. (2012) ‘Challenges in urban freight transport planning – a review in the Baltic Sea Region’, Journal of Transport Geography, 22, pp. 129–136. doi: 10.1016/j.jtrangeo.2012.01.001.
Lindawati, van S. J., Gohabc, M. y de Souza, R. (2014) ‘Collaboration in urban logistics: motivations and barriers’, International Journal of Urban Sciences, 18(2), pp. 278–290.
Lin, C. (2011) ‘A vehicle routing problem with pickup and delivery time windows, and coordination of transportable resources’, Computers and Operations Research. Elsevier, 38(11), pp. 1596–1609. doi: 10.1016/j.cor.2011.01.021.
Li, R., Qi, M., Cheng, C. y Lai, W. (2016) ‘Design of Dynamic Vehicle Routing System Based on Online Map Service’, in The 13th International Conference on Service Systems and Service Management. Kunming, China: IEEE, pp. 1–5. doi: 10.1109/ICSSSM.2016.7538425.
Li, J. Q., Mirchandani, P. B. y Borenstein, D. (2009) ‘A Lagrangian heuristic for the real-time vehicle rescheduling problem’, Transportation Research Part E: Logistics and Transportation Review. Elsevier Ltd, 45(3), pp. 419–433. doi: 10.1016/j.tre.2008.09.002.
Kuo, R. J., Wibowo, B. S. y Zulvia, F. E. (2016) ‘Application of a fuzzy ant colony system to solve the dynamic vehicle routing problem with uncertain service time’, Applied Mathematical Modelling. Elsevier Inc., 0, pp. 1–12. doi: 10.1016/j.apm.2016.06.025.
Koç, Ç., Bektaş, T., Jabali, O. y Laporte, G. (2016) ‘The impact of depot location, fleet composition and routing on emissions in city logistics’, Transportation Research Part B: Methodological, 84, pp. 81–102. doi: 10.1016/j.trb.2015.12.010.
Kim, G., Ong, Y. S., Heng, C. K., Tan, P. S. and Zhang, N. A. (2015) ‘City Vehicle Routing Problem (City VRP): A Review’, IEEE Transactions on Intelligent Transportation Systems, 16(4), pp. 1654–1666. doi: 10.1109/TITS.2015.2395536.
Holguín-Veras, J. y Sánchez-Díaz, I. (2016) ‘Freight Demand Management and the Potential of Receiver-Led Consolidation programs’, Transportation Research Part A: Policy and Practice, 84, pp. 109–130. doi: 10.1016/j.tra.2015.06.013.
Hemmelmayr, V. C., Cordeau, J.-F. y Crainic, T. G. (2012) ‘An adaptive large neighborhood search heuristic for Two-Echelon Vehicle Routing Problems arising in city logistics’, Computers & Operations Research, 39(12), pp. 3215–3228. doi: 10.1016/j.cor.2012.04.007.
Guerlain, C., Cortina, S. y Renault, S. (2016) ‘Towards a Collaborative Geographical Information System to Support Collective Decision Making for Urban Logistics Initiative’, Transportation Research Procedia. Elsevier, 12, pp. 634–643. doi: 10.1016/j.trpro.2016.02.017.
Guedria, M., Malhene, N. y Deschamps, J.-C. (2016) ‘Urban Freight Transport: From Optimized Routes to Robust Routes’, Transportation Research Procedia. Elsevier B.V., 12(June 2015), pp. 413–424. doi: 10.1016/j.trpro.2016.02.076.
Gonzalez-Feliu, J. and Muñuzuri, J. (2013) ‘Decision - making tools and procedures for City Logistics’, European Transport, (54), pp. 1–3.
Palacio-León, O. y Adarme Jaimes, W. (2014) ‘Coordinación de inventarios: Un caso de estudio para la logística de ciudad’, DYNA, 81(186), pp. 295–303.
Quak, H. . y De Koster, M. B. . (2009) ‘Delivering goods in urban areas: how to deal with urban policy resctrictions and the enviroment.pdf’, Transportation Science, 43(2), pp. 211–227.
Gammelgaard, B. (2015) ‘The emergence of city logistics: the case of Copenhagen’s Citylogistik-kbh’, International Journal of Physical Distribution & Logistics Management, 45(4), pp. 333–351. doi: http://dx.doi.org/10.1108/IJPDLM-12-2014-0291.
Yan, S., Lin, J. R. y Lai, C. W. (2013) ‘The planning and real-time adjustment of courier routing and scheduling under stochastic travel times and demands’, Transportation Research Part E: Logistics and Transportation Review. Elsevier Ltd, 53(1), pp. 34–47. doi: 10.1016/j.tre.2013.01.011.
Zufferey, N., Cho, B. Y. y Glardon, R. (2016) ‘Dynamic Multi-trip Vehicle Routing with Unusual Time-windows for the Pick-up of Blood Samples and Delivery of Medical Material’, Proceedings of 5th the International Conference on Operations Research and Enterprise Systems, (Icores), pp. 366–372. doi: 10.5220/0005733303660372.
Zhu, L., Rousseau, L. M., Rei, W. y Li, B. (2014) ‘Paired cooperative reoptimization strategy for the vehicle routing problem with stochastic demands’, Computers and Operations Research, 50, pp. 1–13. doi: 10.1016/j.cor.2014.03.027.
Zhang, J., Lam, W. H. K. y Chen, B. Y. (2016) ‘On-time delivery probabilistic models for the vehicle routing problem with stochastic demands and time windows’, European Journal of Operational Research. Elsevier Ltd., 249(1), pp. 144–154. doi: 10.1016/j.ejor.2015.08.050.
Yang, Z., van Osta, J.-P., van Veen, B., van Krevelen, R., van Klaveren, R., Stam, A., Kok, J., Bäck, T. y Emmerich, M. (2016) ‘Dynamic vehicle routing with time windows in theory and practice’, Natural Computing. doi: 10.1007/s11047-016-9550-9.
Woudsma, C., Jensen, J. F., Kanaroglou, P. y Maoh, H. (2008) ‘Logistics land use and the city: A spatial–temporal modeling approach’, Transportation Research Part E: Logistics and Transportation Review, 44(2), pp. 277–297. doi: 10.1016/j.tre.2007.07.006.
Qureshi, A. G., Taniguchi, E. y Yamada, T. (2009) ‘An exact solution approach for vehicle routing and scheduling problems with soft time windows’, Transportation Research Part E: Logistics and Transportation Review, 45(6), pp. 960–977. doi: 10.1016/j.tre.2009.04.007.
United Nations Department of Economic and Social Affairs (2014) World Urbanization Prospects, World Urbanization Prospects. 2014 Revision. Highlights. doi: 10.4054/DemRes.2005.12.9.
Taniguchi, E., Thompson, R. G., Yamada, T. y Van Duin, J. H. . (2001) City logistics: Network modelling and intelligent transport systems. Elsevier Science.
Taniguchi, E., Thompson, R. G. y Yamada, T. (2016) ‘New Opportunities and Challenges for City Logistics’, Transportation Research Procedia. Elsevier B.V., 12(June 2015), pp. 5–13. doi: 10.1016/j.trpro.2016.02.004.
Taniguchi, E., Thompson, R. G. y Yamada, T. (2014) ‘Recent Trends and Innovations in Modelling City Logistics’, Procedia - Social and Behavioral Sciences. Elsevier B.V., 125, pp. 4–14. doi: 10.1016/j.sbspro.2014.01.1451.
Taniguchi, E. (2015) ‘City Logistics for Sustainable and Liveable Cities’, in Green Logistics and Transportation, pp. 49–60. doi: 10.1007/978-3-319-17181-4_4.
Taniguchi, E. (2014) ‘Concepts of City Logistics for Sustainable and Liveable Cities’, Procedia - Social and Behavioral Sciences. Elsevier, 151, pp. 310–317. doi: 10.1016/j.sbspro.2014.10.029.
Tadić, S., Zečević, S. y Krstić, M. (2015) ‘City Logistics – Status and Trends’, International Journal for Traffic and Transport Engineering, 5(3), pp. 319–343. doi: http://dx.doi.org/10.7708/ijtte.2015.5(3).09.
Tadić, S., Zečević, S. y Krstić, M. (2014) ‘Ranking of Logistics System Scenarios for Central Business District’, Promet-Traffic & Transportation, 26(2), pp. 159–167. doi: 10.7307/ptt.v26i2.1349.
Sun, S. C., Duan, Z. Y. y Chen, C. (2014) ‘Freight Transport Demand Forecasting in Urban Logistics Planning: A Case Study of Yiwu City’, Applied Mechanics and Materials, 505–506, pp. 915–921. doi: 10.4028/www.scientific.net/AMM.505-506.915.
Schliwa, G., Armitage, R., Aziz, S., Evans, J. y Rhoades, J. (2015) ‘Sustainable city logistics — Making cargo cycles viable for urban freight transport’, Research in Transportation Business & Management, 15, pp. 50–57. doi: 10.1016/j.rtbm.2015.02.001.
Sanz, G., Pastor, R. y Benedito, E. (2013) ‘Distribución urbana de mercancías: Descripción y clasificación de soluciones existentes e implementación de dos soluciones novedosas’, DYNA, 80(179), pp. 6–13. Available at: http://www.scopus.com/inward/record.url?eid=2-s2.0-84879151133&partnerID=tZOtx3y1.
Russo, F. y Comi, A. (2011) ‘A model system for the ex-ante assessment of city logistics measures’, Research in Transportation Economics. Elsevier Ltd, 31(1), pp. 81–87. doi: 10.1016/j.retrec.2010.11.011.
Qureshi, A. G., Taniguchi, E. y Yamada, T. (2012) ‘A Microsimulation Based Analysis of Exact Solution of Dynamic Vehicle Routing with Soft Time Windows’, Procedia - Social and Behavioral Sciences, 39, pp. 205–216. doi: 10.1016/j.sbspro.2012.03.102.
Gonzalez-Feliu, J. y Morana, J. (2014) ‘Assessing Urban Logistics Pooling Sustainability via a Hierarchic Dashboard from a Group Decision Perspective’, in Sustainable Logistics, pp. 113–135. doi: 10.1108/S2044-994120140000006004.
Figliozzi, M. A. (2010) ‘The impacts of congestion on commercial vehicle tour characteristics and costs’, Transportation Research Part E: Logistics and Transportation Review. Elsevier Ltd, 46(4), pp. 496–506. doi: 10.1016/j.tre.2009.04.005.
Antún, J. P. (2013) Distribución Urbana de Mercancías: Estrategias con Centros Logísticos, IDB Technical Note.
Ambrosini, C., Patier, D. y Routhier, J. L. (2010) ‘Urban freight establishment and tour based surveys for policy oriented modelling’, Procedia - Social and Behavioral Sciences, 2(3), pp. 6013–6026. doi: 10.1016/j.sbspro.2010.04.015.
Figliozzi, M. A. (2010) ‘An iterative route construction and improvement algorithm for the vehicle routing problem with soft time windows’, Transportation Research Part C: Emerging Technologies. Elsevier Ltd, 18(5), pp. 668–679. doi: 10.1016/j.trc.2009.08.005.
Arango-Serna, M. D., Serna-Uran, C. A. y Alvarez Uribe, K. C. (2012) ‘Collaborative autonomous systems in models of urban logistics’, DYNA, 79(172), pp. 171–179.
Arango-Serna, M. D., Romano, C. A. y Zapata Cortés, J. A. (2016) ‘Collaborative goods distribution using the IRP model’, DYNA, 83(196), pp. 204–212. doi: 10.15446/dyna.v83n196.52492.
Arango-Serna, M. D., Zapata Cortés, J. A. y Gutierrez, D. (2015) ‘Modeling The Inventory Routing Problem ( IRP ) With Multiple Depots With Genetic Algorithms’, IEEE Latin America Transactions, 13(12), pp. 3959–3965.
Crainic, T. G., Ricciardi, N. y Storchi, G. (2004) ‘Advanced freight transportation systems for congested urban areas’, Transportation Research Part C: Emerging Technologies, 12(2), pp. 119–137. doi: 10.1016/j.trc.2004.07.002.
Faure, L., Battaia, G., Marques, G., Guillaume, R., Vega-Mejía, C. A., Montoya-Torres, J. R., Muñoz-Villamizar, A. F. y Quintero-Araújo, C. L. (2013) ‘How to anticipate the level of activity of a sustainable collaborative network: The case of urban freight delivery through logistics platforms’, in Digital Ecosystems and Technologies (DEST), 2013 7th IEEE International Conference on, pp. 126–131. doi: 10.1109/DEST.2013.6611341.
Fatnassi, E., Chaouachi, J. y Klibi, W. (2015) ‘Planning and operating a shared goods and passengers on-demand rapid transit system for sustainable city-logistics’, Transportation Research Part B: Methodological, 81, pp. 440–460. doi: 10.1016/j.trb.2015.07.016.
Faccio, M. y Gamberi, M. (2015) ‘New City Logistics Paradigm: From the “Last Mile” to the “Last 50 Miles” Sustainable Distribution’, Sustainability. Multidisciplinary Digital Publishing Institute, 7(11), pp. 14873–14894. doi: 10.3390/su71114873.
Ehmke, J. F., Steinert, A. y Mattfeld, D. C. (2012) ‘Advanced routing for city logistics service providers based on time-dependent travel times’, Journal of Computational Science. Elsevier B.V., 3(4), pp. 193–205. doi: 10.1016/j.jocs.2012.01.006.
Ehmke, J. F. (2012) Integration of Information and Optimization Models for Routing in City Logistics. Internatio. Edited by F. S. Hillier and C. C. Price. New York: Springer International Publishing. doi: 10.1007/978-1-4614-0806-2.
Domínguez, A. (2013) Modelización del comportamiento de los comerciantes ante nuevas políticas de reparto urbano de mercancías. Universidad de Cantabria.
Deflorio, F., Gonzalez-Feliu, J., Perboli, G. y Tadei, R. (2012) ‘The influence of time windows on the costs of urban freight distribution services in city logistics applications’, European Journal of Transport and Infrastructure Research, 12(3), pp. 256–274.
Davis, B. A. y Figliozzi, M. A. (2013) ‘A methodology to evaluate the competitiveness of electric delivery trucks’, Transportation Research Part E: Logistics and Transportation Review. Elsevier Ltd, 49(1), pp. 8–23. doi: 10.1016/j.tre.2012.07.003.
Dablanc, L. (2007) ‘Goods transport in large European cities: Difficult to organize, difficult to modernize’, Transportation Research Part A: Policy and Practice, 41(3), pp. 280–285. doi: 10.1016/j.tra.2006.05.005.
Crainic, T. G., Ricciardi, N. y Storchi, G. (2007) ‘Models for Evaluating and Planning City Logistics Systems’, Transportation Science, 43(4), pp. 432–454. doi: 10.1287/trsc.1090.0279.
Crainic, T. G., Gendreau, M. y Jean-Yves, P. (2009) ‘Intelligent freight-transportation systems: Assessment and the contribution of operations research’, Transportation Research Part C: Emerging Technologies., 17(6), pp. 541–557.
Awasthi, A., Adetiloye, T. y Crainic, T. G. (2016) ‘Collaboration partner selection for city logistics planning under municipal freight regulations’, Applied Mathematical Modelling, 40, pp. 510–525. doi: 10.1016/j.apm.2015.04.058.
Comi, A., Site, P. D. y Filippi, F. (2012) ‘Urban Freight Transport Demand Modelling : a State of the Art’, European Transport/Trasporti Europei, 7(51), pp. 1–17.
Chen, H. K., Hsueh, C. F. y Chang, M. S. (2006) ‘The real-time time-dependent vehicle routing problem’, Transportation Research Part E: Logistics and Transportation Review, 42(5), pp. 383–408. doi: 10.1016/j.tre.2005.01.003.
Chac Sam, A.-V. (2010) Gestión dinámica de rutas en la distribución urbana de mercancías. Universidad Politecnica de Cataluña.
Castrellón, J. P., García, J. L. y Adarme Jaimes, W. (2015) ‘Consolidación de carga como mecanismo de coordinación en cadenas de suministro de perecederos: Estudio de simulación Resumen’, DYNA, 82(189), pp. 233–242. doi: 10.15446/dyna.v82n189.48551.
Camargo, J., Carrillo, M. H. y Montoya-Torres, J. R. (2015) ‘Multi-criteria approaches for urban passenger transport systems: a literature review’, Annals of operations research, 226(1), pp. 69–87.
Brito, J. A. (2011) Optimización de rutas de distribución con información y restricciones difusas. Universidad de Laguna.
Bozzo, R., Conca, A. y Marangon, F. (2014) ‘Decision support system for city logistics: Literature review, and guidelines for an ex-ante model’, Transportation Research Procedia. Elsevier B.V., 3(July), pp. 518–527. doi: 10.1016/j.trpro.2014.10.033.
Boussier, J., Cucu, T., Ion, L. y Breuil, D. (2011) ‘Simulation of goods delivery process’, International Journal of Physical Distribution & Logistics Management, 41(9), pp. 913–930.
Behrends, S., Lindholm, M. y Woxenius, J. (2008) ‘The impact of urban freight transport: A definition of sustainability from an actor’s perspective’, Transport Planning and Technology, 31(6), pp. 693–713.
Behrends, S. (2016) ‘Recent Developments in Urban Logistics Research – A Review of the Proceedings of the International Conference on City Logistics 2009 – 2013’, Transportation Research Procedia. Elsevier B.V., 12, pp. 278–287. doi: 10.1016/j.trpro.2016.02.065.
Barceló, J., Grzybowska, H. y Pardo, S. (2007) ‘Vehicle routing and scheduling models, simulation and city logistics’, in Zeimpekis, V., Tarantilis, C. ., Giaglis, G. ., and Minis, I. (eds) Dynamic Fleet Management; Concepts, Systems, Algorithms and Case Studies. US: Springer, pp. 163–195. doi: 10.1007/978-0-387-71722-7_8.
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publishDate 2017-11-02
date_accessioned 2017-11-02 00:00:00
date_available 2017-11-02 00:00:00
url https://revistas.eia.edu.co/index.php/reveia/article/view/1055
url_doi https://doi.org/10.24050/reia.v14i28.1055
issn 1794-1237
eissn 2463-0950
doi 10.24050/reia.v14i28.1055
citationstartpage 57
citationendpage 76
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