Diseño de estrategias logísticas para impulsar la competitividad del sector de distribución en Colombia al año 2050 a partir de herramientas prospectivas
91 páginas
- Autores:
-
Vega Cárdenas, Carlos Andrés
- Tipo de recurso:
- Fecha de publicación:
- 2019
- Institución:
- Universidad de la Sabana
- Repositorio:
- Repositorio Universidad de la Sabana
- Idioma:
- spa
- OAI Identifier:
- oai:intellectum.unisabana.edu.co:10818/35578
- Acceso en línea:
- http://hdl.handle.net/10818/35578
- Palabra clave:
- Competencia económica
Telecomunicaciones
Canales de comercialización
Logística
Planificación estratégica
- Rights
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International
id |
REPOUSABA2_00c0110445bdeb7a3400a33b709ef55a |
---|---|
oai_identifier_str |
oai:intellectum.unisabana.edu.co:10818/35578 |
network_acronym_str |
REPOUSABA2 |
network_name_str |
Repositorio Universidad de la Sabana |
repository_id_str |
|
dc.title.es_CO.fl_str_mv |
Diseño de estrategias logísticas para impulsar la competitividad del sector de distribución en Colombia al año 2050 a partir de herramientas prospectivas |
title |
Diseño de estrategias logísticas para impulsar la competitividad del sector de distribución en Colombia al año 2050 a partir de herramientas prospectivas |
spellingShingle |
Diseño de estrategias logísticas para impulsar la competitividad del sector de distribución en Colombia al año 2050 a partir de herramientas prospectivas Magíster en Diseño y Gestión de Procesos Competencia económica Telecomunicaciones Canales de comercialización Logística Planificación estratégica |
title_short |
Diseño de estrategias logísticas para impulsar la competitividad del sector de distribución en Colombia al año 2050 a partir de herramientas prospectivas |
title_full |
Diseño de estrategias logísticas para impulsar la competitividad del sector de distribución en Colombia al año 2050 a partir de herramientas prospectivas |
title_fullStr |
Diseño de estrategias logísticas para impulsar la competitividad del sector de distribución en Colombia al año 2050 a partir de herramientas prospectivas |
title_full_unstemmed |
Diseño de estrategias logísticas para impulsar la competitividad del sector de distribución en Colombia al año 2050 a partir de herramientas prospectivas |
title_sort |
Diseño de estrategias logísticas para impulsar la competitividad del sector de distribución en Colombia al año 2050 a partir de herramientas prospectivas |
dc.creator.fl_str_mv |
Vega Cárdenas, Carlos Andrés |
author |
Magíster en Diseño y Gestión de Procesos |
author_facet |
Magíster en Diseño y Gestión de Procesos |
author_role |
author |
dc.contributor.advisor.none.fl_str_mv |
Turriago Hoyos, Álvaro |
dc.contributor.author.none.fl_str_mv |
Vega Cárdenas, Carlos Andrés |
dc.contributor.author.fl_str_mv |
Magíster en Diseño y Gestión de Procesos |
dc.subject.es_CO.fl_str_mv |
Competencia económica Telecomunicaciones Canales de comercialización Logística Planificación estratégica |
topic |
Competencia económica Telecomunicaciones Canales de comercialización Logística Planificación estratégica |
description |
91 páginas |
publishDate |
2019 |
dc.date.accessioned.none.fl_str_mv |
2019-05-23T14:42:01Z |
dc.date.available.none.fl_str_mv |
2019-05-23T14:42:01Z |
dc.date.issued.none.fl_str_mv |
2019-03-15 |
dc.type.es_CO.fl_str_mv |
masterThesis |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_bdcc |
dc.type.hasVersion.es_CO.fl_str_mv |
publishedVersion |
dc.identifier.citation.spa.fl_str_mv |
Acemoglu, D., Johnson, S., & Robinson, J. A. (2005). Los orígenes coloniales del desarrollo comparativo: una investigación empírica. Revista de Economía Institucional, 7, 17–67. Balbi, E. R. (2014). Construyendo el futuro. (Red Escenarios y Estretegia en América Latina, Ed.) (Gustavo Ca). Buenos Aires: Red Escenarios y Estretegia en América Latina. Ballou, R. H. (2004). Logística: Administración de la cadena de suministro. México: Pearson Educación. Bonet Borjas, C. M. (2004). Ley de pareto aplicada a la fiabilidad. Caicedo, J. M. (2008). Infraestructura y crecimiento. Dossier, 17, 55–57. Cóccola, M., Méndez, C. A., & Dondo, R. G. (2015). A branch-and-price approach to evaluate the role of cross-docking operations in consolidated supply chains. Computers & Chemical Engineering, 80, 15–29. http://doi.org/https://doi.org/10.1016/j.compchemeng.2015.04.039 Consejo Nacional de Política Económica y Social. (2006). Conpes 3439: Institucionalidad y principios rectores de política para la competitividad y productividad. Bogotá, D.C. Consejo Privado de Competitividad. (2017). Informe nacional de competitividad 2016-2017. Retrieved from http://www.compite.com.co/site/informe-nacional-de-competitividad-2015- 2016-2/ Departamento Nacional de Planeación. (2014). Plan Nacional de Desarrollo 2014-2018. Fajnzylber, F. (1988). Competitividad internacional: evolución y lecciones. In Naciones Unidas (Ed.), Libro de la Cepal (36th ed., p. 48). Santiago de Chile: Naciones Unidas. Godet, M. (1995). De la anticipación a la acción: Manual de prospectiva y estrategia. Méxi: ALFAOMEGA. Retrieved from https://books.google.es/books?id=08PNPAAACAAJ Godet, M. (2000). La caja de herramientas de la prospectiva estratégica. GERPA. Retrieved from http://books.google.es/books?id=fHnNtgAACAAJ Mera Rodríguez, C. W. (2012). Concepto, aplicación y modelo de prospectiva estratégica en la administración de las organizaciones. Revista Estratégia Organizacional, 25–30. Mojica, F. J. (2006). Concepto y aplicación de la prospectiva estratégica. Revista Med, 14, 122– 131. North, D. C., Thomas, R. P., & Lacasta, J. F. (1980). El nacimiento del mundo occidental: una nueva historia económica : (900-1700). Siglo XXI. Retrieved from http://books.google.com.co/books?id=HOs4pwAACAAJ Pacheco, J. F., & Contreras, E. (2008). Manual para la evaluación multicriterio para programas y proyectos. Rodríguez Espinoza, M. (2003). Logística: aspectos estratégicos. In M. Christopher (Ed.), Logística: Aspectos Estratégicos. (p. 327). México: Editorial Limusa Rozas, P., Bonifaz, J. L., & Gustavo, G.-G. (2012). El financiamiento de la infraestructura. Propuestas para el desarrollo sostenible de una política sectorial Rueda Velasco, F. J., Gonzalez Rodríguez, L. J., López Bello, C. A., Agudelo, I., & Kalenatic, D. ed (Eds.). (2013). Logística focalizada : una respuesta ante ambientes de asimetría, incertidumbre y volatilidad. Chía: Chía : Universidad de La Sabana Saura, I. G. I. L. (2008). Tecnologías de la información y la comunicación en la gestión logística. Vanegas Cárdenas, A. del P. (2011). Impacto de la logística en la macroeconomía latinoamericana (Argentina, Brasil, Colombia, y Perú). (A. M. Perdomo Sánchez, J. A. dir Jarrin, D. C. dir Pirachicán Mayorga, & A. del P. Vanegas Cárdenas, Eds.). Tesis, Chía. |
dc.identifier.citation.eng.fl_str_mv |
Ahmadizar, F., Zeynivand, M., & Arkat, J. (2015). Two-level vehicle routing with cross-docking in a three-echelon supply chain: A genetic algorithm approach. Applied Mathematical Modelling, 39(22), 7065–7081. http://doi.org/https://doi.org/10.1016/j.apm.2015.03.005 Anas, R., Tamin, O. Z., & Wibowo, S. S. (2015). Applying Input-output Model to Estimate the Broader Economic Benefits of Cipularang Tollroad Investment to Bandung District. Procedia Engineering, 125, 489–497. http://doi.org/https://doi.org/10.1016/j.proeng.2015.11.042 Avci, M., & Topaloglu, S. (2016). A hybrid metaheuristic algorithm for heterogeneous vehicle routing problem with simultaneous pickup and delivery. Expert Systems with Applications, 53, 160–171. http://doi.org/https://doi.org/10.1016/j.eswa.2016.01.038 Badia-Melis, R., Carthy, U. M., & Uysal, I. (2016). Data estimation methods for predicting temperatures of fruit in refrigerated containers. Biosystems Engineering, 151, 261–272. http://doi.org/https://doi.org/10.1016/j.biosystemseng.2016.09.009 Barbero, J. A. (2011). Infrastructure in the Comprehensive Development of Latin America. Bensassi, S., Márquez-Ramos, L., Martínez-Zarzoso, I., & Suárez-Burguet, C. (2015). Relationship between logistics infrastructure and trade: Evidence from Spanish regional exports. Transportation Research Part A: Policy and Practice, 72, 47–61. http://doi.org/https://doi.org/10.1016/j.tra.2014.11.007 Bertolini, M., Bottani, E., Rizzi, A., & Bevilacqua, M. (2007). Lead time reduction through {ICT} application in the footwear industry: A case study. International Journal of Production Economics, 110(1–2), 198–212. http://doi.org/https://doi.org/10.1016/j.ijpe.2007.02.016 Bogataj, D., Bogataj, M., & Hudoklin, D. (2017). Mitigating risks of perishable products in the cyber-physical systems based on the extended (MRP) model. International Journal of Production Economics, 193, 51–62. http://doi.org/https://doi.org/10.1016/j.ijpe.2017.06.028 Caplice, C., & Phadnis, S. (2013). Strategic Issues Facing Transportation, Volume 1: Scenario Planning for Freight Transportation Infrastructure Investment (Vol. 1). Chen, G., Cheung, W., Chu, S.-C., & Xu, L. (2017). Transhipment hub selection from a shipper’s and freight forwarder’s perspective. Expert Systems with Applications, 83, 396–404. http://doi.org/https://doi.org/10.1016/j.eswa.2017.04.044 Davies, I., Mason, R., & Lalwani, C. (2007). Assessing the impact of (ICT) on (UK) general haulage companies. International Journal of Production Economics, 106(1), 12–27. http://doi.org/https://doi.org/10.1016/j.ijpe.2006.04.007 Departamento Nacional de Planeación. (2015). Encuesta Nacional de Logística 2015. Retrieved from https://onl.dnp.gov.co/es/Publicaciones/Documents/Encuesta Nacional Logística 2015 – Libro de resultados.pdf Dias, J. C. Q., Calado, J. M. F., Osório, A. L., & Morgado, L. F. (2009). (RFID) together with multi-agent systems to control global value chains. Annual Reviews in Control, 33(2), 185– 195. http://doi.org/https://doi.org/10.1016/j.arcontrol.2009.03.005 Divahar, S. R., & Sudhahar, C. (2012). Selection of Reverse Logistics Provider Using AHP. Procedia Engineering, 38, 2005–2008. http://doi.org/https://doi.org/10.1016/j.proeng.2012.06.242 Dondo, R., & Cerdá, J. (2013). A sweep-heuristic based formulation for the vehicle routing problem with cross-docking. Computers & Chemical Engineering, 48, 293–311. http://doi.org/https://doi.org/10.1016/j.compchemeng.2012.09.016 Dondo, R., Méndez, C. A., & Cerdá, J. (2011). The multi-echelon vehicle routing problem with cross docking in supply chain management. Computers & Chemical Engineering, 35(12), 3002–3024. http://doi.org/https://doi.org/10.1016/j.compchemeng.2011.03.028 Gani, A. (2017). The Logistics Performance Effect in International Trade. The Asian Journal of Shipping and Logistics, 33(4), 279–288. http://doi.org/https://doi.org/10.1016/j.ajsl.2017.12.012 Gogas, M. A., & Nathanail, E. (2017). Evaluation of Urban Consolidation Centers: A Methodological Framework. Procedia Engineering, 178, 461–471. http://doi.org/https://doi.org/10.1016/j.proeng.2017.01.089 Gracht, H. von der, Mauksch, S., Markmann, C., & Münnich, M. (2010). Competitiveness Monitor : an integrated Foresight Plat- form for the German Leading-edge Cluster in Logistics. European Foresight Plarform, (203), 1–4. Holguín-Veras, J., & Sánchez-Díaz, I. (2016). Freight Demand Management and the Potential of Receiver-Led Consolidation programs. Transportation Research Part A: Policy and Practice, 84, 109–130. http://doi.org/https://doi.org/10.1016/j.tra.2015.06.013 Hong, J. (2007). Transport and the location of foreign logistics firms: The Chinese experience. Transportation Research Part A: Policy and Practice, 41(6), 597–609. http://doi.org/https://doi.org/10.1016/j.tra.2006.11.004 Hosseini, S. D., Shirazi, M. A., & Karimi, B. (2014). Cross-docking and milk run logistics in a consolidation network: A hybrid of harmony search and simulated annealing approach. Journal of Manufacturing Systems, 33(4), 567–577. http://doi.org/https://doi.org/10.1016/j.jmsy.2014.05.004 Hu, Z.-H., Sheu, J.-B., Zhao, L., & Lu, C.-C. (2015). A dynamic closed-loop vehicle routing problem with uncertainty and incompatible goods. Transportation Research Part C: Emerging Technologies, 55, 273–297. http://doi.org/https://doi.org/10.1016/j.trc.2015.01.010 Huo, B., Fu, D., Zhao, X., & Zhu, J. (2016). Curbing opportunism in logistics outsourcing relationships: The role of relational norms and contract. International Journal of Production Economics, 182, 293–303. http://doi.org/https://doi.org/10.1016/j.ijpe.2016.07.005 Ittmann, H. W., & King, D. (2010). The State of Logistics – an overview of logistics in South Africa. Retrieved from www.conference.csir.co.za ITU. (2016). Measuring the Information Society Report 2016. International Telecommunication Union. Retrieved from http://home.izum.si/cobiss/OZ/2003_3/Html/clanek_08.html Ji, G., Gunasekaran, A., & Yang, G. (2014). Constructing sustainable supply chain under double environmental medium regulations. International Journal of Production Economics, 147, Part, 211–219. http://doi.org/https://doi.org/10.1016/j.ijpe.2013.04.012 Kain, R., & Verma, A. (2018). Logistics Management in Supply Chain – An Overview. Materials Today: Proceedings, 5(2, Part 1), 3811–3816. http://doi.org/https://doi.org/10.1016/j.matpr.2017.11.634 Keller, J., Markmann, C., & von der Gracht, H. a. (2014). Foresight support systems to facilitate regional innovations: A conceptualization case for a German logistics cluster. Technological Forecasting and Social Change, 97, 15–28. http://doi.org/10.1016/j.techfore.2013.12.031 Koptak, M., Džubáková, M., Vasilienė-Vasiliauskienė, V., & Vasiliauskas, A. V. (2017). Work Standards in Selected Third Party Logistics Operations: MTM-LOGISTICS Case Study. Procedia Engineering, 187, 160–166. http://doi.org/https://doi.org/10.1016/j.proeng.2017.04.428 Larranaga, A. M., Arellana, J., & Senna, L. A. (2017). Encouraging intermodality: A stated preference analysis of freight mode choice in Rio Grande do Sul. Transportation Research Part A: Policy and Practice, 102, 202–211. http://doi.org/https://doi.org/10.1016/j.tra.2016.10.028 Leitner, R., Meizer, F., Prochazka, M., & Sihn, W. (2011). Structural concepts for horizontal cooperation to increase efficiency in logistics. {CIRP} Journal of Manufacturing Science and Technology, 4(3), 332–337. http://doi.org/https://doi.org/10.1016/j.cirpj.2011.01.009 Liao, T.-Y., & Hu, T.-Y. (2011). An object-oriented evaluation framework for dynamic vehicle routing problems under real-time information. Expert Systems with Applications, 38(10), 12548–12558. http://doi.org/https://doi.org/10.1016/j.eswa.2011.04.041 Liu, N., Kim, Y., & Hwang, H. (2009). An optimal operating policy for the production system with rework. Computers & Industrial Engineering, 56(3), 874–887. http://doi.org/https://doi.org/10.1016/j.cie.2008.09.013 Liu, S., Chan, F. T. S., & Chung, S. H. (2011). A study of distribution center location based on the rough sets and interactive multi-objective fuzzy decision theory. Robotics and ComputerIntegrated Manufacturing, 27(2), 426–433. http://doi.org/https://doi.org/10.1016/j.rcim.2010.09.003 Liu, X., Bai, Y., & Chen, J. (2017). An intermodal transportation geospatial network modeling for containerized soybean shipping. Journal of Ocean Engineering and Science, 2(2), 143–153. http://doi.org/https://doi.org/10.1016/j.joes.2017.05.001 Llorca, M., & Jamasb, T. (2017). Energy efficiency and rebound effect in European road freight transport. Transportation Research Part A: Policy and Practice, 101, 98–110. http://doi.org/https://doi.org/10.1016/j.tra.2017.05.002 Meersman, H., & Nazemzadeh, M. (2017). The contribution of transport infrastructure to economic activity: The case of Belgium. Case Studies on Transport Policy, 5(2), 316–324. http://doi.org/https://doi.org/10.1016/j.cstp.2017.03.009 Meixell, M. J., & Gargeya, V. B. (2005). Global supply chain design: A literature review and critique. Transportation Research Part E: Logistics and Transportation Review, 41(6), 531– 550. http://doi.org/10.1016/j.tre.2005.06.003 Milačić, V. R., & Miler, a. (1986). Artificial intelligence—morphological approach as a new technological forecasting technique. International Journal of Production Research. http://doi.org/10.1080/00207548608919812 Mojica, F. J. (2010). The future of the future: Strategic foresight in Latin America. Technological Forecasting and Social Change, 77(9), 1559–1565. http://doi.org/https://doi.org/10.1016/j.techfore.2010.07.008 Mondragon, A. E. C., Lalwani, C. S., Mondragon, E. S. C., Mondragon, C. E. C., & Pawar, K. S. (2012). Intelligent transport systems in multimodal logistics: A case of role and contribution through wireless vehicular networks in a sea port location. International Journal of Production Economics, 137(1), 165–175. http://doi.org/https://doi.org/10.1016/j.ijpe.2011.11.006 Muffatto, M., & Payaro, A. (2004). Implementation of e-procurement and e-fulfillment processes: A comparison of cases in the motorcycle industry. International Journal of Production Economics, 89(3), 339–351. http://doi.org/https://doi.org/10.1016/S0925-5273(02)00301-8 Nazarko, J., & Kuźmicz, K. A. (2017). Introduction to the (STEEPVL) Analysis of the New Silk Road Initiative. Procedia Engineering, 182, 497–503. http://doi.org/https://doi.org/10.1016/j.proeng.2017.03.143 Neeraja, B., Mehta, M., & Chandani, A. (2014). Supply Chain and Logistics for the Present Day Business. Procedia Economics and Finance, 11, 665–675. http://doi.org/https://doi.org/10.1016/S2212-5671(14)00232-9 Niu, Y.-F., Lam, W. H. K., & Gao, Z. (2014). An efficient algorithm for evaluating logistics network reliability subject to distribution cost. Transportation Research Part E: Logistics and Transportation Review, 67, 175–189. http://doi.org/10.1016/j.tre.2014.04.009 O’Neal, C. (1970). Morphological analysis: an integrative approach. Business Horizons (Indiana University). Retrieved from http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:Morphological+Analysis +An+integrative+approach#9 Pacheco, J., García, I., & Álvarez, A. (2014). Enhancing variable neighborhood search by adding memory: Application to a real logistic problem. Knowledge-Based Systems, 62, 28–37. http://doi.org/https://doi.org/10.1016/j.knosys.2014.02.014 Piendl, R., Liedtke, G., & Matteis, T. (2017). A logit model for shipment size choice with latent classes – Empirical findings for Germany. Transportation Research Part A: Policy and Practice, 102, 188–201. http://doi.org/https://doi.org/10.1016/j.tra.2016.08.023 Porter, M. E. (1990). The competitive advantage of nations. Harvard Business Review, Marzo-Ab, 21 Quak, H. J., & de Koster, M. B. M. (2007). Exploring retailers’ sensitivity to local sustainability policies. Journal of Operations Management, 25(6), 1103–1122. http://doi.org/https://doi.org/10.1016/j.jom.2007.01.020 Rabinovich, E., Knemeyer, A. M., & Mayer, C. M. (2007). Why do Internet commerce firms incorporate logistics service providers in their distribution channels?: The role of transaction costs and network strength. Journal of Operations Management, 25(3), 661–681. http://doi.org/https://doi.org/10.1016/j.jom.2006.05.012 Scapolo, F., Geyer, A., Boden, M., Döry, T., & Ducatel, K. (2003). The Future of Manufacturing in Europe 2015-2020 The Challenge for Sustainability Europe 2015-2020. TECHNICAL REPORT SERIES Scavarda, M., Seok, H., & Nof, S. Y. (2017). The constrained-collaboration algorithm for intelligent resource distribution in supply networks. Computers & Industrial Engineering. http://doi.org/https://doi.org/10.1016/j.cie.2017.05.015 Schwab, K. (2017). The Global Competitiveness Report 2016 - 2017. Serrano, C., Moral, J., Delorme, X., & Dolgui, A. (2016). Cross-docking Operation Scheduling: Truck Arrivals, Shop-Floor Activities and Truck Departures. IFAC-PapersOnLine, 49(12), 1353–1358. http://doi.org/https://doi.org/10.1016/j.ifacol.2016.07.751 Sha, M., & Srinivasan, R. (2016). Fleet sizing in chemical supply chains using agent-based simulation. Computers & Chemical Engineering, 84, 180–198. http://doi.org/https://doi.org/10.1016/j.compchemeng.2015.08.015 Shepherd, B. (2016). Infrastructure, trade facilitation, and network connectivity in Sub-Saharan Africa. Journal of African Trade, 3(1), 1–22. http://doi.org/https://doi.org/10.1016/j.joat.2017.05.001 Soysal, M., Bloemhof-Ruwaard, J. M., & Bektaş, T. (2015). The time-dependent two-echelon capacitated vehicle routing problem with environmental considerations. International Journal of Production Economics, 164, 366–378. http://doi.org/https://doi.org/10.1016/j.ijpe.2014.11.016 Speranza, M. G. (2018). Trends in transportation and logistics. European Journal of Operational Research, 264(3), 830–836. http://doi.org/https://doi.org/10.1016/j.ejor.2016.08.032 Sternberg, H., Prockl, G., & Holmström, J. (2014). The efficiency potential of (ICT) in haulier operations. Computers in Industry, 65(8), 1161–1168. http://doi.org/https://doi.org/10.1016/j.compind.2014.07.002 Sugiyama, K., Honma, O., & Mishima, N. (2016). Quantitative Analysis of Material Flow of Used Mobile Phones in Japan. Procedia {CIRP}, 40, 79–84. http://doi.org/https://doi.org/10.1016/j.procir.2016.01.060 Truschkin, E., & Elbert, R. (2013). Horizontal transshipment technologies as enablers of combined transport: Impact of transport policies on the modal split. Transportation Research Part A: Policy and Practice, 49, 91–109. http://doi.org/https://doi.org/10.1016/j.tra.2013.01.024 Tsao, Y.-C. (2011). Replenishment policies considering trade credit and logistics risk. Scientia Iranica, 18(3), 753–758. http://doi.org/https://doi.org/10.1016/j.scient.2011.05.022 Vergara, A., Ramírez, J. L., & Llobet, E. (2008). Reducing power consumption via a discontinuous operation of temperature-modulated micro-hotplate gas sensors: Application to the logistics chain of fruit. Sensors and Actuators B: Chemical, 129(1), 311–318. http://doi.org/https://doi.org/10.1016/j.snb.2007.08.029 Vieira, J. G. V., Toso, M. R., da Silva, J. E. A. R., & Ribeiro, P. C. C. (2017). An AHP-based framework for logistics operations in distribution centres. International Journal of Production Economics, 187, 246–259. http://doi.org/https://doi.org/10.1016/j.ijpe.2017.03.001 Wang, Y., Ma, X., Liu, M., Gong, K., Liu, Y., Xu, M., & Wang, Y. (2017). Cooperation and profit allocation in two-echelon logistics joint distribution network optimization. Applied Soft 91 Computing, 56, 143–157. http://doi.org/https://doi.org/10.1016/j.asoc.2017.02.025 WIPO. (2017). The global innovation index 2017: Innovation Feeding the World. Retrieved from http://www.wipo.int/publications/es/details.jsp?id=4193 Witthaut, M., Stone, G., Miemczyk, J., & Hellingrath, B. (2006). ICT as an anabler to the 5-day car: A central challenge to the ILIPT project. {IFAC} Proceedings Volumes, 39(3), 285–290. http://doi.org/https://doi.org/10.3182/20060517-3-FR-2903.00157 World Bank. (2010). Doing Business 2011. Washington, DC. Retrieved from www.worldbank.org Xu, S., Liu, Y., & Chen, M. (2017). Optimisation of partial collaborative transportation scheduling in supply chain management with 3PL using (ACO). Expert Systems with Applications, 71, 173–191. http://doi.org/https://doi.org/10.1016/j.eswa.2016.11.016 Yang, P.-Y., Tang, J.-F., Yu, Y., & Pei, J.-X. (2013). Minimizing Carbon Emissions through Vehicle Routing and Scheduling in the Shuttle Service of Picking up and Delivering Customers to the Airport. Acta Automatica Sinica, 39(4), 424–432. http://doi.org/https://doi.org/10.1016/S1874-1029(13)60042-7 Zeng, T., Hu, D., & Huang, G. (2013). The Transportation Mode Distribution of Multimodal Transportation in Automotive Logistics. Procedia - Social and Behavioral Sciences, 96(Cictp), 405–417. http://doi.org/10.1016/j.sbspro.2013.08.048 Zheng, J.-N., Chien, C.-F., & Gen, M. (2015). Multi-objective multi-population biased randomkey genetic algorithm for the 3-D container loading problem. Computers & Industrial Engineering, 89, 80–87. http://doi.org/https://doi.org/10.1016/j.cie.2014.07.012 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10818/35578 |
dc.identifier.local.none.fl_str_mv |
272180 TE10136 |
identifier_str_mv |
Acemoglu, D., Johnson, S., & Robinson, J. A. (2005). Los orígenes coloniales del desarrollo comparativo: una investigación empírica. Revista de Economía Institucional, 7, 17–67. Balbi, E. R. (2014). Construyendo el futuro. (Red Escenarios y Estretegia en América Latina, Ed.) (Gustavo Ca). Buenos Aires: Red Escenarios y Estretegia en América Latina. Ballou, R. H. (2004). Logística: Administración de la cadena de suministro. México: Pearson Educación. Bonet Borjas, C. M. (2004). Ley de pareto aplicada a la fiabilidad. Caicedo, J. M. (2008). Infraestructura y crecimiento. Dossier, 17, 55–57. Cóccola, M., Méndez, C. A., & Dondo, R. G. (2015). A branch-and-price approach to evaluate the role of cross-docking operations in consolidated supply chains. Computers & Chemical Engineering, 80, 15–29. http://doi.org/https://doi.org/10.1016/j.compchemeng.2015.04.039 Consejo Nacional de Política Económica y Social. (2006). Conpes 3439: Institucionalidad y principios rectores de política para la competitividad y productividad. Bogotá, D.C. Consejo Privado de Competitividad. (2017). Informe nacional de competitividad 2016-2017. Retrieved from http://www.compite.com.co/site/informe-nacional-de-competitividad-2015- 2016-2/ Departamento Nacional de Planeación. (2014). Plan Nacional de Desarrollo 2014-2018. Fajnzylber, F. (1988). Competitividad internacional: evolución y lecciones. In Naciones Unidas (Ed.), Libro de la Cepal (36th ed., p. 48). Santiago de Chile: Naciones Unidas. Godet, M. (1995). De la anticipación a la acción: Manual de prospectiva y estrategia. Méxi: ALFAOMEGA. Retrieved from https://books.google.es/books?id=08PNPAAACAAJ Godet, M. (2000). La caja de herramientas de la prospectiva estratégica. GERPA. Retrieved from http://books.google.es/books?id=fHnNtgAACAAJ Mera Rodríguez, C. W. (2012). Concepto, aplicación y modelo de prospectiva estratégica en la administración de las organizaciones. Revista Estratégia Organizacional, 25–30. Mojica, F. J. (2006). Concepto y aplicación de la prospectiva estratégica. Revista Med, 14, 122– 131. North, D. C., Thomas, R. P., & Lacasta, J. F. (1980). El nacimiento del mundo occidental: una nueva historia económica : (900-1700). Siglo XXI. Retrieved from http://books.google.com.co/books?id=HOs4pwAACAAJ Pacheco, J. F., & Contreras, E. (2008). Manual para la evaluación multicriterio para programas y proyectos. Rodríguez Espinoza, M. (2003). Logística: aspectos estratégicos. In M. Christopher (Ed.), Logística: Aspectos Estratégicos. (p. 327). México: Editorial Limusa Rozas, P., Bonifaz, J. L., & Gustavo, G.-G. (2012). El financiamiento de la infraestructura. Propuestas para el desarrollo sostenible de una política sectorial Rueda Velasco, F. J., Gonzalez Rodríguez, L. J., López Bello, C. A., Agudelo, I., & Kalenatic, D. ed (Eds.). (2013). Logística focalizada : una respuesta ante ambientes de asimetría, incertidumbre y volatilidad. Chía: Chía : Universidad de La Sabana Saura, I. G. I. L. (2008). Tecnologías de la información y la comunicación en la gestión logística. Vanegas Cárdenas, A. del P. (2011). Impacto de la logística en la macroeconomía latinoamericana (Argentina, Brasil, Colombia, y Perú). (A. M. Perdomo Sánchez, J. A. dir Jarrin, D. C. dir Pirachicán Mayorga, & A. del P. Vanegas Cárdenas, Eds.). Tesis, Chía. Ahmadizar, F., Zeynivand, M., & Arkat, J. (2015). Two-level vehicle routing with cross-docking in a three-echelon supply chain: A genetic algorithm approach. Applied Mathematical Modelling, 39(22), 7065–7081. http://doi.org/https://doi.org/10.1016/j.apm.2015.03.005 Anas, R., Tamin, O. Z., & Wibowo, S. S. (2015). Applying Input-output Model to Estimate the Broader Economic Benefits of Cipularang Tollroad Investment to Bandung District. Procedia Engineering, 125, 489–497. http://doi.org/https://doi.org/10.1016/j.proeng.2015.11.042 Avci, M., & Topaloglu, S. (2016). A hybrid metaheuristic algorithm for heterogeneous vehicle routing problem with simultaneous pickup and delivery. Expert Systems with Applications, 53, 160–171. http://doi.org/https://doi.org/10.1016/j.eswa.2016.01.038 Badia-Melis, R., Carthy, U. M., & Uysal, I. (2016). Data estimation methods for predicting temperatures of fruit in refrigerated containers. Biosystems Engineering, 151, 261–272. http://doi.org/https://doi.org/10.1016/j.biosystemseng.2016.09.009 Barbero, J. A. (2011). Infrastructure in the Comprehensive Development of Latin America. Bensassi, S., Márquez-Ramos, L., Martínez-Zarzoso, I., & Suárez-Burguet, C. (2015). Relationship between logistics infrastructure and trade: Evidence from Spanish regional exports. Transportation Research Part A: Policy and Practice, 72, 47–61. http://doi.org/https://doi.org/10.1016/j.tra.2014.11.007 Bertolini, M., Bottani, E., Rizzi, A., & Bevilacqua, M. (2007). Lead time reduction through {ICT} application in the footwear industry: A case study. International Journal of Production Economics, 110(1–2), 198–212. http://doi.org/https://doi.org/10.1016/j.ijpe.2007.02.016 Bogataj, D., Bogataj, M., & Hudoklin, D. (2017). Mitigating risks of perishable products in the cyber-physical systems based on the extended (MRP) model. International Journal of Production Economics, 193, 51–62. http://doi.org/https://doi.org/10.1016/j.ijpe.2017.06.028 Caplice, C., & Phadnis, S. (2013). Strategic Issues Facing Transportation, Volume 1: Scenario Planning for Freight Transportation Infrastructure Investment (Vol. 1). Chen, G., Cheung, W., Chu, S.-C., & Xu, L. (2017). Transhipment hub selection from a shipper’s and freight forwarder’s perspective. Expert Systems with Applications, 83, 396–404. http://doi.org/https://doi.org/10.1016/j.eswa.2017.04.044 Davies, I., Mason, R., & Lalwani, C. (2007). Assessing the impact of (ICT) on (UK) general haulage companies. International Journal of Production Economics, 106(1), 12–27. http://doi.org/https://doi.org/10.1016/j.ijpe.2006.04.007 Departamento Nacional de Planeación. (2015). Encuesta Nacional de Logística 2015. Retrieved from https://onl.dnp.gov.co/es/Publicaciones/Documents/Encuesta Nacional Logística 2015 – Libro de resultados.pdf Dias, J. C. Q., Calado, J. M. F., Osório, A. L., & Morgado, L. F. (2009). (RFID) together with multi-agent systems to control global value chains. Annual Reviews in Control, 33(2), 185– 195. http://doi.org/https://doi.org/10.1016/j.arcontrol.2009.03.005 Divahar, S. R., & Sudhahar, C. (2012). Selection of Reverse Logistics Provider Using AHP. Procedia Engineering, 38, 2005–2008. http://doi.org/https://doi.org/10.1016/j.proeng.2012.06.242 Dondo, R., & Cerdá, J. (2013). A sweep-heuristic based formulation for the vehicle routing problem with cross-docking. Computers & Chemical Engineering, 48, 293–311. http://doi.org/https://doi.org/10.1016/j.compchemeng.2012.09.016 Dondo, R., Méndez, C. A., & Cerdá, J. (2011). The multi-echelon vehicle routing problem with cross docking in supply chain management. Computers & Chemical Engineering, 35(12), 3002–3024. http://doi.org/https://doi.org/10.1016/j.compchemeng.2011.03.028 Gani, A. (2017). The Logistics Performance Effect in International Trade. The Asian Journal of Shipping and Logistics, 33(4), 279–288. http://doi.org/https://doi.org/10.1016/j.ajsl.2017.12.012 Gogas, M. A., & Nathanail, E. (2017). Evaluation of Urban Consolidation Centers: A Methodological Framework. Procedia Engineering, 178, 461–471. http://doi.org/https://doi.org/10.1016/j.proeng.2017.01.089 Gracht, H. von der, Mauksch, S., Markmann, C., & Münnich, M. (2010). Competitiveness Monitor : an integrated Foresight Plat- form for the German Leading-edge Cluster in Logistics. European Foresight Plarform, (203), 1–4. Holguín-Veras, J., & Sánchez-Díaz, I. (2016). Freight Demand Management and the Potential of Receiver-Led Consolidation programs. Transportation Research Part A: Policy and Practice, 84, 109–130. http://doi.org/https://doi.org/10.1016/j.tra.2015.06.013 Hong, J. (2007). Transport and the location of foreign logistics firms: The Chinese experience. Transportation Research Part A: Policy and Practice, 41(6), 597–609. http://doi.org/https://doi.org/10.1016/j.tra.2006.11.004 Hosseini, S. D., Shirazi, M. A., & Karimi, B. (2014). Cross-docking and milk run logistics in a consolidation network: A hybrid of harmony search and simulated annealing approach. Journal of Manufacturing Systems, 33(4), 567–577. http://doi.org/https://doi.org/10.1016/j.jmsy.2014.05.004 Hu, Z.-H., Sheu, J.-B., Zhao, L., & Lu, C.-C. (2015). A dynamic closed-loop vehicle routing problem with uncertainty and incompatible goods. Transportation Research Part C: Emerging Technologies, 55, 273–297. http://doi.org/https://doi.org/10.1016/j.trc.2015.01.010 Huo, B., Fu, D., Zhao, X., & Zhu, J. (2016). Curbing opportunism in logistics outsourcing relationships: The role of relational norms and contract. International Journal of Production Economics, 182, 293–303. http://doi.org/https://doi.org/10.1016/j.ijpe.2016.07.005 Ittmann, H. W., & King, D. (2010). The State of Logistics – an overview of logistics in South Africa. Retrieved from www.conference.csir.co.za ITU. (2016). Measuring the Information Society Report 2016. International Telecommunication Union. Retrieved from http://home.izum.si/cobiss/OZ/2003_3/Html/clanek_08.html Ji, G., Gunasekaran, A., & Yang, G. (2014). Constructing sustainable supply chain under double environmental medium regulations. International Journal of Production Economics, 147, Part, 211–219. http://doi.org/https://doi.org/10.1016/j.ijpe.2013.04.012 Kain, R., & Verma, A. (2018). Logistics Management in Supply Chain – An Overview. Materials Today: Proceedings, 5(2, Part 1), 3811–3816. http://doi.org/https://doi.org/10.1016/j.matpr.2017.11.634 Keller, J., Markmann, C., & von der Gracht, H. a. (2014). Foresight support systems to facilitate regional innovations: A conceptualization case for a German logistics cluster. Technological Forecasting and Social Change, 97, 15–28. http://doi.org/10.1016/j.techfore.2013.12.031 Koptak, M., Džubáková, M., Vasilienė-Vasiliauskienė, V., & Vasiliauskas, A. V. (2017). Work Standards in Selected Third Party Logistics Operations: MTM-LOGISTICS Case Study. Procedia Engineering, 187, 160–166. http://doi.org/https://doi.org/10.1016/j.proeng.2017.04.428 Larranaga, A. M., Arellana, J., & Senna, L. A. (2017). Encouraging intermodality: A stated preference analysis of freight mode choice in Rio Grande do Sul. Transportation Research Part A: Policy and Practice, 102, 202–211. http://doi.org/https://doi.org/10.1016/j.tra.2016.10.028 Leitner, R., Meizer, F., Prochazka, M., & Sihn, W. (2011). Structural concepts for horizontal cooperation to increase efficiency in logistics. {CIRP} Journal of Manufacturing Science and Technology, 4(3), 332–337. http://doi.org/https://doi.org/10.1016/j.cirpj.2011.01.009 Liao, T.-Y., & Hu, T.-Y. (2011). An object-oriented evaluation framework for dynamic vehicle routing problems under real-time information. Expert Systems with Applications, 38(10), 12548–12558. http://doi.org/https://doi.org/10.1016/j.eswa.2011.04.041 Liu, N., Kim, Y., & Hwang, H. (2009). An optimal operating policy for the production system with rework. Computers & Industrial Engineering, 56(3), 874–887. http://doi.org/https://doi.org/10.1016/j.cie.2008.09.013 Liu, S., Chan, F. T. S., & Chung, S. H. (2011). A study of distribution center location based on the rough sets and interactive multi-objective fuzzy decision theory. Robotics and ComputerIntegrated Manufacturing, 27(2), 426–433. http://doi.org/https://doi.org/10.1016/j.rcim.2010.09.003 Liu, X., Bai, Y., & Chen, J. (2017). An intermodal transportation geospatial network modeling for containerized soybean shipping. Journal of Ocean Engineering and Science, 2(2), 143–153. http://doi.org/https://doi.org/10.1016/j.joes.2017.05.001 Llorca, M., & Jamasb, T. (2017). Energy efficiency and rebound effect in European road freight transport. Transportation Research Part A: Policy and Practice, 101, 98–110. http://doi.org/https://doi.org/10.1016/j.tra.2017.05.002 Meersman, H., & Nazemzadeh, M. (2017). The contribution of transport infrastructure to economic activity: The case of Belgium. Case Studies on Transport Policy, 5(2), 316–324. http://doi.org/https://doi.org/10.1016/j.cstp.2017.03.009 Meixell, M. J., & Gargeya, V. B. (2005). Global supply chain design: A literature review and critique. Transportation Research Part E: Logistics and Transportation Review, 41(6), 531– 550. http://doi.org/10.1016/j.tre.2005.06.003 Milačić, V. R., & Miler, a. (1986). Artificial intelligence—morphological approach as a new technological forecasting technique. International Journal of Production Research. http://doi.org/10.1080/00207548608919812 Mojica, F. J. (2010). The future of the future: Strategic foresight in Latin America. Technological Forecasting and Social Change, 77(9), 1559–1565. http://doi.org/https://doi.org/10.1016/j.techfore.2010.07.008 Mondragon, A. E. C., Lalwani, C. S., Mondragon, E. S. C., Mondragon, C. E. C., & Pawar, K. S. (2012). Intelligent transport systems in multimodal logistics: A case of role and contribution through wireless vehicular networks in a sea port location. International Journal of Production Economics, 137(1), 165–175. http://doi.org/https://doi.org/10.1016/j.ijpe.2011.11.006 Muffatto, M., & Payaro, A. (2004). Implementation of e-procurement and e-fulfillment processes: A comparison of cases in the motorcycle industry. International Journal of Production Economics, 89(3), 339–351. http://doi.org/https://doi.org/10.1016/S0925-5273(02)00301-8 Nazarko, J., & Kuźmicz, K. A. (2017). Introduction to the (STEEPVL) Analysis of the New Silk Road Initiative. Procedia Engineering, 182, 497–503. http://doi.org/https://doi.org/10.1016/j.proeng.2017.03.143 Neeraja, B., Mehta, M., & Chandani, A. (2014). Supply Chain and Logistics for the Present Day Business. Procedia Economics and Finance, 11, 665–675. http://doi.org/https://doi.org/10.1016/S2212-5671(14)00232-9 Niu, Y.-F., Lam, W. H. K., & Gao, Z. (2014). An efficient algorithm for evaluating logistics network reliability subject to distribution cost. Transportation Research Part E: Logistics and Transportation Review, 67, 175–189. http://doi.org/10.1016/j.tre.2014.04.009 O’Neal, C. (1970). Morphological analysis: an integrative approach. Business Horizons (Indiana University). Retrieved from http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:Morphological+Analysis +An+integrative+approach#9 Pacheco, J., García, I., & Álvarez, A. (2014). Enhancing variable neighborhood search by adding memory: Application to a real logistic problem. Knowledge-Based Systems, 62, 28–37. http://doi.org/https://doi.org/10.1016/j.knosys.2014.02.014 Piendl, R., Liedtke, G., & Matteis, T. (2017). A logit model for shipment size choice with latent classes – Empirical findings for Germany. Transportation Research Part A: Policy and Practice, 102, 188–201. http://doi.org/https://doi.org/10.1016/j.tra.2016.08.023 Porter, M. E. (1990). The competitive advantage of nations. Harvard Business Review, Marzo-Ab, 21 Quak, H. J., & de Koster, M. B. M. (2007). Exploring retailers’ sensitivity to local sustainability policies. Journal of Operations Management, 25(6), 1103–1122. http://doi.org/https://doi.org/10.1016/j.jom.2007.01.020 Rabinovich, E., Knemeyer, A. M., & Mayer, C. M. (2007). Why do Internet commerce firms incorporate logistics service providers in their distribution channels?: The role of transaction costs and network strength. Journal of Operations Management, 25(3), 661–681. http://doi.org/https://doi.org/10.1016/j.jom.2006.05.012 Scapolo, F., Geyer, A., Boden, M., Döry, T., & Ducatel, K. (2003). The Future of Manufacturing in Europe 2015-2020 The Challenge for Sustainability Europe 2015-2020. TECHNICAL REPORT SERIES Scavarda, M., Seok, H., & Nof, S. Y. (2017). The constrained-collaboration algorithm for intelligent resource distribution in supply networks. Computers & Industrial Engineering. http://doi.org/https://doi.org/10.1016/j.cie.2017.05.015 Schwab, K. (2017). The Global Competitiveness Report 2016 - 2017. Serrano, C., Moral, J., Delorme, X., & Dolgui, A. (2016). Cross-docking Operation Scheduling: Truck Arrivals, Shop-Floor Activities and Truck Departures. IFAC-PapersOnLine, 49(12), 1353–1358. http://doi.org/https://doi.org/10.1016/j.ifacol.2016.07.751 Sha, M., & Srinivasan, R. (2016). Fleet sizing in chemical supply chains using agent-based simulation. Computers & Chemical Engineering, 84, 180–198. http://doi.org/https://doi.org/10.1016/j.compchemeng.2015.08.015 Shepherd, B. (2016). Infrastructure, trade facilitation, and network connectivity in Sub-Saharan Africa. Journal of African Trade, 3(1), 1–22. http://doi.org/https://doi.org/10.1016/j.joat.2017.05.001 Soysal, M., Bloemhof-Ruwaard, J. M., & Bektaş, T. (2015). The time-dependent two-echelon capacitated vehicle routing problem with environmental considerations. International Journal of Production Economics, 164, 366–378. http://doi.org/https://doi.org/10.1016/j.ijpe.2014.11.016 Speranza, M. G. (2018). Trends in transportation and logistics. European Journal of Operational Research, 264(3), 830–836. http://doi.org/https://doi.org/10.1016/j.ejor.2016.08.032 Sternberg, H., Prockl, G., & Holmström, J. (2014). The efficiency potential of (ICT) in haulier operations. Computers in Industry, 65(8), 1161–1168. http://doi.org/https://doi.org/10.1016/j.compind.2014.07.002 Sugiyama, K., Honma, O., & Mishima, N. (2016). Quantitative Analysis of Material Flow of Used Mobile Phones in Japan. Procedia {CIRP}, 40, 79–84. http://doi.org/https://doi.org/10.1016/j.procir.2016.01.060 Truschkin, E., & Elbert, R. (2013). Horizontal transshipment technologies as enablers of combined transport: Impact of transport policies on the modal split. Transportation Research Part A: Policy and Practice, 49, 91–109. http://doi.org/https://doi.org/10.1016/j.tra.2013.01.024 Tsao, Y.-C. (2011). Replenishment policies considering trade credit and logistics risk. Scientia Iranica, 18(3), 753–758. http://doi.org/https://doi.org/10.1016/j.scient.2011.05.022 Vergara, A., Ramírez, J. L., & Llobet, E. (2008). Reducing power consumption via a discontinuous operation of temperature-modulated micro-hotplate gas sensors: Application to the logistics chain of fruit. Sensors and Actuators B: Chemical, 129(1), 311–318. http://doi.org/https://doi.org/10.1016/j.snb.2007.08.029 Vieira, J. G. V., Toso, M. R., da Silva, J. E. A. R., & Ribeiro, P. C. C. (2017). An AHP-based framework for logistics operations in distribution centres. International Journal of Production Economics, 187, 246–259. http://doi.org/https://doi.org/10.1016/j.ijpe.2017.03.001 Wang, Y., Ma, X., Liu, M., Gong, K., Liu, Y., Xu, M., & Wang, Y. (2017). Cooperation and profit allocation in two-echelon logistics joint distribution network optimization. Applied Soft 91 Computing, 56, 143–157. http://doi.org/https://doi.org/10.1016/j.asoc.2017.02.025 WIPO. (2017). The global innovation index 2017: Innovation Feeding the World. Retrieved from http://www.wipo.int/publications/es/details.jsp?id=4193 Witthaut, M., Stone, G., Miemczyk, J., & Hellingrath, B. (2006). ICT as an anabler to the 5-day car: A central challenge to the ILIPT project. {IFAC} Proceedings Volumes, 39(3), 285–290. http://doi.org/https://doi.org/10.3182/20060517-3-FR-2903.00157 World Bank. (2010). Doing Business 2011. Washington, DC. Retrieved from www.worldbank.org Xu, S., Liu, Y., & Chen, M. (2017). Optimisation of partial collaborative transportation scheduling in supply chain management with 3PL using (ACO). Expert Systems with Applications, 71, 173–191. http://doi.org/https://doi.org/10.1016/j.eswa.2016.11.016 Yang, P.-Y., Tang, J.-F., Yu, Y., & Pei, J.-X. (2013). Minimizing Carbon Emissions through Vehicle Routing and Scheduling in the Shuttle Service of Picking up and Delivering Customers to the Airport. Acta Automatica Sinica, 39(4), 424–432. http://doi.org/https://doi.org/10.1016/S1874-1029(13)60042-7 Zeng, T., Hu, D., & Huang, G. (2013). The Transportation Mode Distribution of Multimodal Transportation in Automotive Logistics. Procedia - Social and Behavioral Sciences, 96(Cictp), 405–417. http://doi.org/10.1016/j.sbspro.2013.08.048 Zheng, J.-N., Chien, C.-F., & Gen, M. (2015). Multi-objective multi-population biased randomkey genetic algorithm for the 3-D container loading problem. Computers & Industrial Engineering, 89, 80–87. http://doi.org/https://doi.org/10.1016/j.cie.2014.07.012 272180 TE10136 |
url |
http://hdl.handle.net/10818/35578 |
dc.language.iso.es_CO.fl_str_mv |
spa |
language |
spa |
dc.rights.*.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ http://purl.org/coar/access_right/c_abf2 |
dc.format.es_CO.fl_str_mv |
application/pdf |
dc.publisher.es_CO.fl_str_mv |
Universidad de La Sabana |
dc.publisher.program.es_CO.fl_str_mv |
Maestría en Diseño y Gestión de Procesos |
dc.publisher.department.es_CO.fl_str_mv |
Facultad de Ingeniería |
dc.source.none.fl_str_mv |
Universidad de La Sabana Intellectum Repositorio Universidad de La Sabana |
institution |
Universidad de la Sabana |
bitstream.url.fl_str_mv |
https://intellectum.unisabana.edu.co/bitstream/10818/35578/3/license.txt https://intellectum.unisabana.edu.co/bitstream/10818/35578/4/Formato%20de%20autorizacion%20de%20divulgacion%20RI%20trabajos%20de%20grado%20V2bk%20-%20Escaneado.pdf https://intellectum.unisabana.edu.co/bitstream/10818/35578/1/Tesis%20de%20Maestr%c3%ada%20de%20Carlos%20Andr%c3%a9s%20Vega%20C%c3%a1rdenas.pdf https://intellectum.unisabana.edu.co/bitstream/10818/35578/2/license_rdf https://intellectum.unisabana.edu.co/bitstream/10818/35578/5/Tesis%20de%20Maestr%c3%ada%20de%20Carlos%20Andr%c3%a9s%20Vega%20C%c3%a1rdenas.pdf.txt |
bitstream.checksum.fl_str_mv |
f52a2cfd4df262e08e9b300d62c85cab c767a0ff43a46474279def3a9492f80f 6f492a03a4c1ddfbdd969518c57af2df 4460e5956bc1d1639be9ae6146a50347 d0c960a293f8635399d9e638d0a37231 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Intellectum Universidad de la Sabana |
repository.mail.fl_str_mv |
contactointellectum@unisabana.edu.co |
_version_ |
1766695370960666624 |
spelling |
Turriago Hoyos, ÁlvaroVega Cárdenas, Carlos AndrésMagíster en Diseño y Gestión de Procesos2019-05-23T14:42:01Z2019-05-23T14:42:01Z2019-03-15Acemoglu, D., Johnson, S., & Robinson, J. A. (2005). Los orígenes coloniales del desarrollo comparativo: una investigación empírica. Revista de Economía Institucional, 7, 17–67.Balbi, E. R. (2014). Construyendo el futuro. (Red Escenarios y Estretegia en América Latina, Ed.) (Gustavo Ca). Buenos Aires: Red Escenarios y Estretegia en América Latina.Ballou, R. H. (2004). Logística: Administración de la cadena de suministro. México: Pearson Educación.Bonet Borjas, C. M. (2004). Ley de pareto aplicada a la fiabilidad.Caicedo, J. M. (2008). Infraestructura y crecimiento. Dossier, 17, 55–57.Cóccola, M., Méndez, C. A., & Dondo, R. G. (2015). A branch-and-price approach to evaluate the role of cross-docking operations in consolidated supply chains. Computers & Chemical Engineering, 80, 15–29. http://doi.org/https://doi.org/10.1016/j.compchemeng.2015.04.039Consejo Nacional de Política Económica y Social. (2006). Conpes 3439: Institucionalidad y principios rectores de política para la competitividad y productividad. Bogotá, D.C.Consejo Privado de Competitividad. (2017). Informe nacional de competitividad 2016-2017. Retrieved from http://www.compite.com.co/site/informe-nacional-de-competitividad-2015- 2016-2/Departamento Nacional de Planeación. (2014). Plan Nacional de Desarrollo 2014-2018.Fajnzylber, F. (1988). Competitividad internacional: evolución y lecciones. In Naciones Unidas (Ed.), Libro de la Cepal (36th ed., p. 48). Santiago de Chile: Naciones Unidas.Godet, M. (1995). De la anticipación a la acción: Manual de prospectiva y estrategia. Méxi: ALFAOMEGA. Retrieved from https://books.google.es/books?id=08PNPAAACAAJGodet, M. (2000). La caja de herramientas de la prospectiva estratégica. GERPA. Retrieved from http://books.google.es/books?id=fHnNtgAACAAJMera Rodríguez, C. W. (2012). Concepto, aplicación y modelo de prospectiva estratégica en la administración de las organizaciones. Revista Estratégia Organizacional, 25–30.Mojica, F. J. (2006). Concepto y aplicación de la prospectiva estratégica. Revista Med, 14, 122– 131.North, D. C., Thomas, R. P., & Lacasta, J. F. (1980). El nacimiento del mundo occidental: una nueva historia económica : (900-1700). Siglo XXI. Retrieved from http://books.google.com.co/books?id=HOs4pwAACAAJPacheco, J. F., & Contreras, E. (2008). Manual para la evaluación multicriterio para programas y proyectos.Rodríguez Espinoza, M. (2003). Logística: aspectos estratégicos. In M. Christopher (Ed.), Logística: Aspectos Estratégicos. (p. 327). México: Editorial LimusaRozas, P., Bonifaz, J. L., & Gustavo, G.-G. (2012). El financiamiento de la infraestructura. Propuestas para el desarrollo sostenible de una política sectorialRueda Velasco, F. J., Gonzalez Rodríguez, L. J., López Bello, C. A., Agudelo, I., & Kalenatic, D. ed (Eds.). (2013). Logística focalizada : una respuesta ante ambientes de asimetría, incertidumbre y volatilidad. Chía: Chía : Universidad de La SabanaSaura, I. G. I. L. (2008). Tecnologías de la información y la comunicación en la gestión logística.Vanegas Cárdenas, A. del P. (2011). Impacto de la logística en la macroeconomía latinoamericana (Argentina, Brasil, Colombia, y Perú). (A. M. Perdomo Sánchez, J. A. dir Jarrin, D. C. dir Pirachicán Mayorga, & A. del P. Vanegas Cárdenas, Eds.). Tesis, Chía.Ahmadizar, F., Zeynivand, M., & Arkat, J. (2015). Two-level vehicle routing with cross-docking in a three-echelon supply chain: A genetic algorithm approach. Applied Mathematical Modelling, 39(22), 7065–7081. http://doi.org/https://doi.org/10.1016/j.apm.2015.03.005Anas, R., Tamin, O. Z., & Wibowo, S. S. (2015). Applying Input-output Model to Estimate the Broader Economic Benefits of Cipularang Tollroad Investment to Bandung District. Procedia Engineering, 125, 489–497. http://doi.org/https://doi.org/10.1016/j.proeng.2015.11.042Avci, M., & Topaloglu, S. (2016). A hybrid metaheuristic algorithm for heterogeneous vehicle routing problem with simultaneous pickup and delivery. Expert Systems with Applications, 53, 160–171. http://doi.org/https://doi.org/10.1016/j.eswa.2016.01.038Badia-Melis, R., Carthy, U. M., & Uysal, I. (2016). Data estimation methods for predicting temperatures of fruit in refrigerated containers. Biosystems Engineering, 151, 261–272. http://doi.org/https://doi.org/10.1016/j.biosystemseng.2016.09.009Barbero, J. A. (2011). Infrastructure in the Comprehensive Development of Latin America.Bensassi, S., Márquez-Ramos, L., Martínez-Zarzoso, I., & Suárez-Burguet, C. (2015). Relationship between logistics infrastructure and trade: Evidence from Spanish regional exports. Transportation Research Part A: Policy and Practice, 72, 47–61. http://doi.org/https://doi.org/10.1016/j.tra.2014.11.007Bertolini, M., Bottani, E., Rizzi, A., & Bevilacqua, M. (2007). Lead time reduction through {ICT} application in the footwear industry: A case study. International Journal of Production Economics, 110(1–2), 198–212. http://doi.org/https://doi.org/10.1016/j.ijpe.2007.02.016Bogataj, D., Bogataj, M., & Hudoklin, D. (2017). Mitigating risks of perishable products in the cyber-physical systems based on the extended (MRP) model. International Journal of Production Economics, 193, 51–62. http://doi.org/https://doi.org/10.1016/j.ijpe.2017.06.028Caplice, C., & Phadnis, S. (2013). Strategic Issues Facing Transportation, Volume 1: Scenario Planning for Freight Transportation Infrastructure Investment (Vol. 1).Chen, G., Cheung, W., Chu, S.-C., & Xu, L. (2017). Transhipment hub selection from a shipper’s and freight forwarder’s perspective. Expert Systems with Applications, 83, 396–404. http://doi.org/https://doi.org/10.1016/j.eswa.2017.04.044Davies, I., Mason, R., & Lalwani, C. (2007). Assessing the impact of (ICT) on (UK) general haulage companies. International Journal of Production Economics, 106(1), 12–27. http://doi.org/https://doi.org/10.1016/j.ijpe.2006.04.007Departamento Nacional de Planeación. (2015). Encuesta Nacional de Logística 2015. Retrieved from https://onl.dnp.gov.co/es/Publicaciones/Documents/Encuesta Nacional Logística 2015 – Libro de resultados.pdfDias, J. C. Q., Calado, J. M. F., Osório, A. L., & Morgado, L. F. (2009). (RFID) together with multi-agent systems to control global value chains. Annual Reviews in Control, 33(2), 185– 195. http://doi.org/https://doi.org/10.1016/j.arcontrol.2009.03.005Divahar, S. R., & Sudhahar, C. (2012). Selection of Reverse Logistics Provider Using AHP. Procedia Engineering, 38, 2005–2008. http://doi.org/https://doi.org/10.1016/j.proeng.2012.06.242Dondo, R., & Cerdá, J. (2013). A sweep-heuristic based formulation for the vehicle routing problem with cross-docking. Computers & Chemical Engineering, 48, 293–311. http://doi.org/https://doi.org/10.1016/j.compchemeng.2012.09.016Dondo, R., Méndez, C. A., & Cerdá, J. (2011). The multi-echelon vehicle routing problem with cross docking in supply chain management. Computers & Chemical Engineering, 35(12), 3002–3024. http://doi.org/https://doi.org/10.1016/j.compchemeng.2011.03.028Gani, A. (2017). The Logistics Performance Effect in International Trade. The Asian Journal of Shipping and Logistics, 33(4), 279–288. http://doi.org/https://doi.org/10.1016/j.ajsl.2017.12.012Gogas, M. A., & Nathanail, E. (2017). Evaluation of Urban Consolidation Centers: A Methodological Framework. Procedia Engineering, 178, 461–471. http://doi.org/https://doi.org/10.1016/j.proeng.2017.01.089Gracht, H. von der, Mauksch, S., Markmann, C., & Münnich, M. (2010). Competitiveness Monitor : an integrated Foresight Plat- form for the German Leading-edge Cluster in Logistics. European Foresight Plarform, (203), 1–4.Holguín-Veras, J., & Sánchez-Díaz, I. (2016). Freight Demand Management and the Potential of Receiver-Led Consolidation programs. Transportation Research Part A: Policy and Practice, 84, 109–130. http://doi.org/https://doi.org/10.1016/j.tra.2015.06.013Hong, J. (2007). Transport and the location of foreign logistics firms: The Chinese experience. Transportation Research Part A: Policy and Practice, 41(6), 597–609. http://doi.org/https://doi.org/10.1016/j.tra.2006.11.004Hosseini, S. D., Shirazi, M. A., & Karimi, B. (2014). Cross-docking and milk run logistics in a consolidation network: A hybrid of harmony search and simulated annealing approach. Journal of Manufacturing Systems, 33(4), 567–577. http://doi.org/https://doi.org/10.1016/j.jmsy.2014.05.004Hu, Z.-H., Sheu, J.-B., Zhao, L., & Lu, C.-C. (2015). A dynamic closed-loop vehicle routing problem with uncertainty and incompatible goods. Transportation Research Part C: Emerging Technologies, 55, 273–297. http://doi.org/https://doi.org/10.1016/j.trc.2015.01.010Huo, B., Fu, D., Zhao, X., & Zhu, J. (2016). Curbing opportunism in logistics outsourcing relationships: The role of relational norms and contract. International Journal of Production Economics, 182, 293–303. http://doi.org/https://doi.org/10.1016/j.ijpe.2016.07.005Ittmann, H. W., & King, D. (2010). The State of Logistics – an overview of logistics in South Africa. Retrieved from www.conference.csir.co.zaITU. (2016). Measuring the Information Society Report 2016. International Telecommunication Union. Retrieved from http://home.izum.si/cobiss/OZ/2003_3/Html/clanek_08.htmlJi, G., Gunasekaran, A., & Yang, G. (2014). Constructing sustainable supply chain under double environmental medium regulations. International Journal of Production Economics, 147, Part, 211–219. http://doi.org/https://doi.org/10.1016/j.ijpe.2013.04.012Kain, R., & Verma, A. (2018). Logistics Management in Supply Chain – An Overview. Materials Today: Proceedings, 5(2, Part 1), 3811–3816. http://doi.org/https://doi.org/10.1016/j.matpr.2017.11.634Keller, J., Markmann, C., & von der Gracht, H. a. (2014). Foresight support systems to facilitate regional innovations: A conceptualization case for a German logistics cluster. Technological Forecasting and Social Change, 97, 15–28. http://doi.org/10.1016/j.techfore.2013.12.031Koptak, M., Džubáková, M., Vasilienė-Vasiliauskienė, V., & Vasiliauskas, A. V. (2017). Work Standards in Selected Third Party Logistics Operations: MTM-LOGISTICS Case Study. Procedia Engineering, 187, 160–166. http://doi.org/https://doi.org/10.1016/j.proeng.2017.04.428Larranaga, A. M., Arellana, J., & Senna, L. A. (2017). Encouraging intermodality: A stated preference analysis of freight mode choice in Rio Grande do Sul. Transportation Research Part A: Policy and Practice, 102, 202–211. http://doi.org/https://doi.org/10.1016/j.tra.2016.10.028Leitner, R., Meizer, F., Prochazka, M., & Sihn, W. (2011). Structural concepts for horizontal cooperation to increase efficiency in logistics. {CIRP} Journal of Manufacturing Science and Technology, 4(3), 332–337. http://doi.org/https://doi.org/10.1016/j.cirpj.2011.01.009Liao, T.-Y., & Hu, T.-Y. (2011). An object-oriented evaluation framework for dynamic vehicle routing problems under real-time information. Expert Systems with Applications, 38(10), 12548–12558. http://doi.org/https://doi.org/10.1016/j.eswa.2011.04.041Liu, N., Kim, Y., & Hwang, H. (2009). An optimal operating policy for the production system with rework. Computers & Industrial Engineering, 56(3), 874–887. http://doi.org/https://doi.org/10.1016/j.cie.2008.09.013Liu, S., Chan, F. T. S., & Chung, S. H. (2011). A study of distribution center location based on the rough sets and interactive multi-objective fuzzy decision theory. Robotics and ComputerIntegrated Manufacturing, 27(2), 426–433. http://doi.org/https://doi.org/10.1016/j.rcim.2010.09.003Liu, X., Bai, Y., & Chen, J. (2017). An intermodal transportation geospatial network modeling for containerized soybean shipping. Journal of Ocean Engineering and Science, 2(2), 143–153. http://doi.org/https://doi.org/10.1016/j.joes.2017.05.001Llorca, M., & Jamasb, T. (2017). Energy efficiency and rebound effect in European road freight transport. Transportation Research Part A: Policy and Practice, 101, 98–110. http://doi.org/https://doi.org/10.1016/j.tra.2017.05.002Meersman, H., & Nazemzadeh, M. (2017). The contribution of transport infrastructure to economic activity: The case of Belgium. Case Studies on Transport Policy, 5(2), 316–324. http://doi.org/https://doi.org/10.1016/j.cstp.2017.03.009Meixell, M. J., & Gargeya, V. B. (2005). Global supply chain design: A literature review and critique. Transportation Research Part E: Logistics and Transportation Review, 41(6), 531– 550. http://doi.org/10.1016/j.tre.2005.06.003Milačić, V. R., & Miler, a. (1986). Artificial intelligence—morphological approach as a new technological forecasting technique. International Journal of Production Research. http://doi.org/10.1080/00207548608919812Mojica, F. J. (2010). The future of the future: Strategic foresight in Latin America. Technological Forecasting and Social Change, 77(9), 1559–1565. http://doi.org/https://doi.org/10.1016/j.techfore.2010.07.008Mondragon, A. E. C., Lalwani, C. S., Mondragon, E. S. C., Mondragon, C. E. C., & Pawar, K. S. (2012). Intelligent transport systems in multimodal logistics: A case of role and contribution through wireless vehicular networks in a sea port location. International Journal of Production Economics, 137(1), 165–175. http://doi.org/https://doi.org/10.1016/j.ijpe.2011.11.006Muffatto, M., & Payaro, A. (2004). Implementation of e-procurement and e-fulfillment processes: A comparison of cases in the motorcycle industry. International Journal of Production Economics, 89(3), 339–351. http://doi.org/https://doi.org/10.1016/S0925-5273(02)00301-8Nazarko, J., & Kuźmicz, K. A. (2017). Introduction to the (STEEPVL) Analysis of the New Silk Road Initiative. Procedia Engineering, 182, 497–503. http://doi.org/https://doi.org/10.1016/j.proeng.2017.03.143Neeraja, B., Mehta, M., & Chandani, A. (2014). Supply Chain and Logistics for the Present Day Business. Procedia Economics and Finance, 11, 665–675. http://doi.org/https://doi.org/10.1016/S2212-5671(14)00232-9Niu, Y.-F., Lam, W. H. K., & Gao, Z. (2014). An efficient algorithm for evaluating logistics network reliability subject to distribution cost. Transportation Research Part E: Logistics and Transportation Review, 67, 175–189. http://doi.org/10.1016/j.tre.2014.04.009O’Neal, C. (1970). Morphological analysis: an integrative approach. Business Horizons (Indiana University). Retrieved from http://scholar.google.com/scholar?hl=en&btnG=Search&q=intitle:Morphological+Analysis +An+integrative+approach#9Pacheco, J., García, I., & Álvarez, A. (2014). Enhancing variable neighborhood search by adding memory: Application to a real logistic problem. Knowledge-Based Systems, 62, 28–37. http://doi.org/https://doi.org/10.1016/j.knosys.2014.02.014Piendl, R., Liedtke, G., & Matteis, T. (2017). A logit model for shipment size choice with latent classes – Empirical findings for Germany. Transportation Research Part A: Policy and Practice, 102, 188–201. http://doi.org/https://doi.org/10.1016/j.tra.2016.08.023Porter, M. E. (1990). The competitive advantage of nations. Harvard Business Review, Marzo-Ab, 21Quak, H. J., & de Koster, M. B. M. (2007). Exploring retailers’ sensitivity to local sustainability policies. Journal of Operations Management, 25(6), 1103–1122. http://doi.org/https://doi.org/10.1016/j.jom.2007.01.020Rabinovich, E., Knemeyer, A. M., & Mayer, C. M. (2007). Why do Internet commerce firms incorporate logistics service providers in their distribution channels?: The role of transaction costs and network strength. Journal of Operations Management, 25(3), 661–681. http://doi.org/https://doi.org/10.1016/j.jom.2006.05.012Scapolo, F., Geyer, A., Boden, M., Döry, T., & Ducatel, K. (2003). The Future of Manufacturing in Europe 2015-2020 The Challenge for Sustainability Europe 2015-2020. TECHNICAL REPORT SERIESScavarda, M., Seok, H., & Nof, S. Y. (2017). The constrained-collaboration algorithm for intelligent resource distribution in supply networks. Computers & Industrial Engineering. http://doi.org/https://doi.org/10.1016/j.cie.2017.05.015Schwab, K. (2017). The Global Competitiveness Report 2016 - 2017.Serrano, C., Moral, J., Delorme, X., & Dolgui, A. (2016). Cross-docking Operation Scheduling: Truck Arrivals, Shop-Floor Activities and Truck Departures. IFAC-PapersOnLine, 49(12), 1353–1358. http://doi.org/https://doi.org/10.1016/j.ifacol.2016.07.751Sha, M., & Srinivasan, R. (2016). Fleet sizing in chemical supply chains using agent-based simulation. Computers & Chemical Engineering, 84, 180–198. http://doi.org/https://doi.org/10.1016/j.compchemeng.2015.08.015Shepherd, B. (2016). Infrastructure, trade facilitation, and network connectivity in Sub-Saharan Africa. Journal of African Trade, 3(1), 1–22. http://doi.org/https://doi.org/10.1016/j.joat.2017.05.001Soysal, M., Bloemhof-Ruwaard, J. M., & Bektaş, T. (2015). The time-dependent two-echelon capacitated vehicle routing problem with environmental considerations. International Journal of Production Economics, 164, 366–378. http://doi.org/https://doi.org/10.1016/j.ijpe.2014.11.016Speranza, M. G. (2018). Trends in transportation and logistics. European Journal of Operational Research, 264(3), 830–836. http://doi.org/https://doi.org/10.1016/j.ejor.2016.08.032Sternberg, H., Prockl, G., & Holmström, J. (2014). The efficiency potential of (ICT) in haulier operations. Computers in Industry, 65(8), 1161–1168. http://doi.org/https://doi.org/10.1016/j.compind.2014.07.002Sugiyama, K., Honma, O., & Mishima, N. (2016). Quantitative Analysis of Material Flow of Used Mobile Phones in Japan. Procedia {CIRP}, 40, 79–84. http://doi.org/https://doi.org/10.1016/j.procir.2016.01.060Truschkin, E., & Elbert, R. (2013). Horizontal transshipment technologies as enablers of combined transport: Impact of transport policies on the modal split. Transportation Research Part A: Policy and Practice, 49, 91–109. http://doi.org/https://doi.org/10.1016/j.tra.2013.01.024Tsao, Y.-C. (2011). Replenishment policies considering trade credit and logistics risk. Scientia Iranica, 18(3), 753–758. http://doi.org/https://doi.org/10.1016/j.scient.2011.05.022Vergara, A., Ramírez, J. L., & Llobet, E. (2008). Reducing power consumption via a discontinuous operation of temperature-modulated micro-hotplate gas sensors: Application to the logistics chain of fruit. Sensors and Actuators B: Chemical, 129(1), 311–318. http://doi.org/https://doi.org/10.1016/j.snb.2007.08.029Vieira, J. G. V., Toso, M. R., da Silva, J. E. A. R., & Ribeiro, P. C. C. (2017). An AHP-based framework for logistics operations in distribution centres. International Journal of Production Economics, 187, 246–259. http://doi.org/https://doi.org/10.1016/j.ijpe.2017.03.001Wang, Y., Ma, X., Liu, M., Gong, K., Liu, Y., Xu, M., & Wang, Y. (2017). Cooperation and profit allocation in two-echelon logistics joint distribution network optimization. Applied Soft 91 Computing, 56, 143–157. http://doi.org/https://doi.org/10.1016/j.asoc.2017.02.025WIPO. (2017). The global innovation index 2017: Innovation Feeding the World. Retrieved from http://www.wipo.int/publications/es/details.jsp?id=4193Witthaut, M., Stone, G., Miemczyk, J., & Hellingrath, B. (2006). ICT as an anabler to the 5-day car: A central challenge to the ILIPT project. {IFAC} Proceedings Volumes, 39(3), 285–290. http://doi.org/https://doi.org/10.3182/20060517-3-FR-2903.00157World Bank. (2010). Doing Business 2011. Washington, DC. Retrieved from www.worldbank.orgXu, S., Liu, Y., & Chen, M. (2017). Optimisation of partial collaborative transportation scheduling in supply chain management with 3PL using (ACO). Expert Systems with Applications, 71, 173–191. http://doi.org/https://doi.org/10.1016/j.eswa.2016.11.016Yang, P.-Y., Tang, J.-F., Yu, Y., & Pei, J.-X. (2013). Minimizing Carbon Emissions through Vehicle Routing and Scheduling in the Shuttle Service of Picking up and Delivering Customers to the Airport. Acta Automatica Sinica, 39(4), 424–432. http://doi.org/https://doi.org/10.1016/S1874-1029(13)60042-7Zeng, T., Hu, D., & Huang, G. (2013). The Transportation Mode Distribution of Multimodal Transportation in Automotive Logistics. Procedia - Social and Behavioral Sciences, 96(Cictp), 405–417. http://doi.org/10.1016/j.sbspro.2013.08.048Zheng, J.-N., Chien, C.-F., & Gen, M. (2015). Multi-objective multi-population biased randomkey genetic algorithm for the 3-D container loading problem. Computers & Industrial Engineering, 89, 80–87. http://doi.org/https://doi.org/10.1016/j.cie.2014.07.012http://hdl.handle.net/10818/35578272180TE1013691 páginasEl nivel económico y social de un país depende en gran parte de su competitividad, concepto que comprende las condiciones que otorgan ventajas comerciales a los países, regiones, industrias o empresas. La competitividad se ve afectada por la capacidad de disponer medios de soporte a la economía, tales como infraestructura, telecomunicaciones y políticas públicas, que brinden un escenario favorable para ser eficientes, manteniendo bajos los costos de disponer bienes y servicios tanto al interior como al exterior de un país. Esta investigación propone realizar un estudio prospectivo sobre el sistema logístico colombiano de distribución, que genere estrategias que definan las condiciones para un mejor funcionamiento del mismo. El trabajo cuenta con las generalidades del proyecto, donde se sustentan las razones por las cuales existe la necesidad de este tipo de investigaciones en Colombia y los objetivos que se proponen lograr, seguido de una explicación de los conceptos claves y de la metodología que se aplica. A continuación, se inicia el desarrollo de la investigación con la identificación de las acciones que se llevan a cabo en la actualidad en miras de mejorar el desempeño logístico, seguido del diseño de las estrategias logísticas empleando un análisis estructural, conformando un espacio morfológico y evaluando las opciones con ayuda de un proceso analítico jerárquico.application/pdfspaUniversidad de La SabanaMaestría en Diseño y Gestión de ProcesosFacultad de IngenieríaAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/http://purl.org/coar/access_right/c_abf2Universidad de La SabanaIntellectum Repositorio Universidad de La SabanaCompetencia económicaTelecomunicacionesCanales de comercializaciónLogísticaPlanificación estratégicaDiseño de estrategias logísticas para impulsar la competitividad del sector de distribución en Colombia al año 2050 a partir de herramientas prospectivasmasterThesispublishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_bdccLICENSElicense.txtlicense.txttext/plain; charset=utf-8498https://intellectum.unisabana.edu.co/bitstream/10818/35578/3/license.txtf52a2cfd4df262e08e9b300d62c85cabMD53Formato de autorizacion de divulgacion RI trabajos de grado V2bk - Escaneado.pdfFormato de autorizacion de divulgacion RI trabajos de grado V2bk - Escaneado.pdfCartaapplication/pdf574608https://intellectum.unisabana.edu.co/bitstream/10818/35578/4/Formato%20de%20autorizacion%20de%20divulgacion%20RI%20trabajos%20de%20grado%20V2bk%20-%20Escaneado.pdfc767a0ff43a46474279def3a9492f80fMD54ORIGINALTesis de Maestría de Carlos Andrés Vega Cárdenas.pdfTesis de Maestría de Carlos Andrés Vega Cárdenas.pdfVer documento en PDFapplication/pdf1902043https://intellectum.unisabana.edu.co/bitstream/10818/35578/1/Tesis%20de%20Maestr%c3%ada%20de%20Carlos%20Andr%c3%a9s%20Vega%20C%c3%a1rdenas.pdf6f492a03a4c1ddfbdd969518c57af2dfMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://intellectum.unisabana.edu.co/bitstream/10818/35578/2/license_rdf4460e5956bc1d1639be9ae6146a50347MD52TEXTTesis de Maestría de Carlos Andrés Vega Cárdenas.pdf.txtTesis de Maestría de Carlos Andrés Vega Cárdenas.pdf.txtExtracted texttext/plain216432https://intellectum.unisabana.edu.co/bitstream/10818/35578/5/Tesis%20de%20Maestr%c3%ada%20de%20Carlos%20Andr%c3%a9s%20Vega%20C%c3%a1rdenas.pdf.txtd0c960a293f8635399d9e638d0a37231MD5510818/35578oai:intellectum.unisabana.edu.co:10818/355782020-12-01 00:54:07.738Intellectum Universidad de la Sabanacontactointellectum@unisabana.edu.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 |