Aprovechamiento de capacidades logísticas en cadenas de suministro agropecuarias

dc.contributorCastrellón Torres, Juan Pablo
dc.contributorSOCIEDAD, ECONOMIA Y PRODUCTIVIDAD - \'SEPRO\'
dc.creatorBenitez Montaña, Johanna Marcela
dc.date.accessioned2020-06-03T20:11:12Z
dc.date.available2020-06-03T20:11:12Z
dc.date.created2020-06-03T20:11:12Z
dc.date.issued2019-11-30
dc.identifierBenitez Montaña, Johanna Marcela (2019) Aprovechamiento de capacidades logísticas en cadenas de suministro agropecuarias. Master thesis, Universidad Nacional de Colombia - Sede Bogotá.
dc.identifierhttps://repositorio.unal.edu.co/handle/unal/77608
dc.description.abstractEn esta investigación se desarrolla una propuesta para la implementación de mecanismos de coordinación en la cadena de suministro cárnica bovina para la ciudad de Arauca que permitan el aprovechamiento de capacidades logísticas en la cadena y mejoren su desempeño. En este estudio exploratorio de tipo mixto se realiza la caracterización de la cadena de suministro en los procesos de abastecimiento, almacenamiento y distribución; se identifican las capacidades logísticas críticas en la cadena y finalmente, a través de la simulación de las relaciones presentes entre los actores involucrados se evalúa el aprovechamiento de la capacidad de almacenamiento en la operación de la cadena de suministro, mediante la implementación del mecanismo de coordinación de toma de decisiones conjunta (Programa de Reabastecimiento Continuo – CRP) para la gestión de almacenamiento y la consolidación de órdenes, establecido a través de la herramienta de contratos. Los resultados de esta investigación evidencian que la implementación de este mecanismo de coordinación en la cadena de suministro bajo estudio logró una reducción del 28,16% de los costos totales, una mejora del 9,98% del fill rate y una mejora del 53,67% del InStock con respecto al escenario sin coordinación. Esta investigación se circunscribe en el proyecto de extensión del grupo Sociedad, Economía y Productividad – SEPRO titulado “Estrategia para la dinamización de las capacidades instaladas de acopio y comercialización de productos agropecuarios en Arauca, Arauca. Un enfoque desde la gestión de las cadenas de abastecimiento”.
dc.description.abstractThis research develops a proposal for the implementation of coordination mechanisms in the bovine meat supply chain of Arauca city, which allow the enhancement of its logistics capabilities and improve its performance. In this mixed type exploratory study, the characterization of the supply chain in the provision, storage and distribution processes is carried out; the critical logistical capacities in the chain are identified and finally, through the simulation of the relationships between the actors involved, the use of storage capacity in the operation of the supply chain is evaluated with the implementation of the coordination mechanism decision-making process (Continuous Replenishment Program - CRP) for storage management and order consolidation, established through the contract tool. The results of this research show that the implementation of this coordination mechanism in the supply chain under study achieved a 28.16% reduction in total costs, a 9.98% improvement in the fill rate and an improvement of 53, 67% of the InStock with respect to the scenario without coordination. This research is circumscribed in the extension project of the research group “Sociedad, Economía y Productividad – SEPRO” entitled “Strategy for the dynamization of the installed capacities for storing and marketing agricultural products in Arauca, Arauca. An approach from the management of supply chains”.
dc.languagespa
dc.publisherBogotá - Ingeniería - Maestría en Ingeniería - Ingeniería Industrial
dc.publisherUniversidad Nacional de Colombia - Sede Bogotá
dc.relationAbuKhousa, E., Al-Jaroodi, J., & Mohamed, S. L.-M. (2014). Simulation and Modeling Efforts to Support Decision Making in Healthcare Supply Chain Management. The Scientific World Journal, 1–16.
dc.relationAECOC. (2019). Tendencias y retos en el sector cárnico.
dc.relationAgami, N., Saleh, M., & Rasmy, M. (2012). Supply Chain Performance Measurement Approaches: Review and Classification. Journal of Organizational Management Studies, 2012, 20.
dc.relationAgustin, W., Dania, P., Xing, K., & Amer, Y. (2016). Collaboration and Sustainable Agri-Food Suply Chain: a Literature Review. Bali International Seminar on Science and Technology (BISSTECH) 2015, 02004(August). https://doi.org/10.1051/matecconf/20165802004
dc.relationAhumada, O., & Villalobos, J. R. (2009). Application of planning models in the agri-food supply chain: A review. European Journal of Operational Research, 196(1), 1–20. https://doi.org/10.1016/j.ejor.2008.02.014
dc.relationAngerhofer, B. J., & Angelides, M. C. (2006). A model and a performance measurement system for collaborative supply chains. Decision Support Systems, 42(1), 283–301. https://doi.org/10.1016/j.dss.2004.12.005
dc.relationAngulo, A., Nachtmann, H., & Waller, M. A. (2004). SUPPLY CHAIN INFORMATION SHARING IN A VENDOR MANAGED INVENTORY PARTNERSHIP. Journal of Business Logistics, 25(1), 101–120. https://doi.org/10.1002/j.2158-1592.2004.tb00171.x
dc.relationAramyan, L., Ondersteijn, C., Kooten, O. V. A. N., & Lansink, A. O. (2006). PERFORMANCE INDICATORS IN AGRI-FOOD PRODUCTION CHAINS. Quantifying the Agri-Food Supply Chain, 47–64.
dc.relationArango Serna, M. D., Adarme Jaimes, W., & Zapata Cortes, J. A. (2010). Gestión cadena de abastecimiento - logística con indicadores bajo incertidumbre, caso aplicado sector panificador Palmira. Ciencia e Ingeniería Neogranadina, 20(1). https://doi.org/https://doi.org/10.18359/rcin.1480
dc.relationAri Kuncoro, V., Hati, S. R. H., & Chalid, D. A. (2016). Enhancing Business Stability Through Collaboration.
dc.relationArshinder, K., Kanda, A., & Deshmukh, S. G. (2011a). A Review on Supply Chain Coordination: Coordination Mechanisms, Managing Uncertainty and Research Directions. In Supply Chain Coordination under Uncertainty (pp. 39–82). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-19257-9_3
dc.relationArshinder, K., Kanda, A., & Deshmukh, S. G. (2011b). Supply Chain Coordination under Uncertainty. In Supply Chain Coordination under Uncertainty. https://doi.org/10.1007/978-3-642-19257-9
dc.relationAzevedo, S. G., Carvalho, H., & Cruz Machado, V. (2011). The influence of green practices on supply chain performance: A case study approach. Transportation Research Part E: Logistics and Transportation Review, 47(6), 850–871. https://doi.org/10.1016/j.tre.2011.05.017
dc.relationBagher, A. N. (2018). The effect of supply chain capabilities on performance of food companies . 2(4).
dc.relationBailey, K., & Francis, M. (2008). Managing information flows for improved value chain performance. International Journal of Production Economics, 111(1), 2–12. https://doi.org/10.1016/j.ijpe.2006.11.017
dc.relationBelalia, Z., & Ghaiti, F. (2016). The value of Vendor Managed Inventory in an autocorrelated demand environment. IFAC-PapersOnLine, 49(12), 668–673. https://doi.org/10.1016/j.ifacol.2016.07.787
dc.relationBeshara, S., S., K., El-Kilany, & Galal, N. M. (2012). Simulation of Agri-Food Supply Chains. International Journal of Industrial and Manufacturing Engineering, 6(5), 899–902.
dc.relationBora, H. D., & Krejci, C. C. (2015). An agent-based model of supplier management in regional food systems (WIP). Simulation Series, 47(10), 514–519.
dc.relationBreiter, A., Hegmanns, T., Hellingrath, B., & Spinler, S. (2009). Coordination in Supply Chain Management - Review and Identification of Directions for Future Research. In Logistik Management (Vol. 1, pp. 39–82). https://doi.org/10.1007/978-3-7908-2362-2
dc.relationBrusset, X., & Teller, C. (2017). Supply chain capabilities, risks, and resilience. International Journal of Production Economics, 184, 59–68. https://doi.org/10.1016/j.ijpe.2016.09.008
dc.relationBurer, S., Jones, P. C., & Lowe, T. J. (2008). Coordinating the supply chain in the agricultural seed industry. European Journal of Operational Research, 185(1), 354–377. https://doi.org/10.1016/j.ejor.2006.12.015
dc.relationCámara de Comercio de Bogotá. (2017). El sector cárnico y la entrada en vigencia del Decreto 1500 de 2007. Noticias 2017. https://www.ccb.org.co/Sala-de-prensa/Noticias-sector-agricola-y-agroindustrial/Noticias-2017/El-sector-carnico-y-la-entrada-en-vigencia-del-Decreto-1500-de-2007
dc.relationCao, M., & Zhang, Q. (2011). Supply chain collaboration: Impact on collaborative advantage and firm performance. Journal of Operations Management, 29(3), 163–180. https://doi.org/10.1016/j.jom.2010.12.008
dc.relationCarbone, A. (2017). Food supply chains: coordination governance and other shaping forces. Agricultural and Food Economics, 5(1), 3. https://doi.org/10.1186/s40100-017-0071-3
dc.relationCárdenas Barbosa, I. D. (2013). Coordinación de agentes en cadenas de suministro descentralizadas, caso de estudio sector panificador, Palmira, Valle. 99. http://www.bdigital.unal.edu.co/46285/
dc.relationCastrellón-Torres, J. P., García-Alcaraz, J. L., & Adarme-Jaimes, W. (2015). Consolidación de carga como mecanismo de coordinación en cadenas de suministro de perecederos: Estudio de simulación. DYNA (Colombia), 82(189), 233–242. https://doi.org/10.15446/dyna.v82n189.48551
dc.relationCastrellón Torres, J. P. (2014). Estrategias para la consolidación de carga perecedera. 151. http://www.bdigital.unal.edu.co/47160/
dc.relationCEPAL, FAO, & IICA. (2017). Perspecctivas de la agricultura y del desarrollo rural de las Américas 2017-2018. http://www.fao.org/3/i8048es/I8048ES.pdf
dc.relationChakraborty, A., Chatterjee, A. K., & Mateen, A. (2015). A vendor-managed inventory scheme as a supply chain coordination mechanism. International Journal of Production Research, 53(1), 13–24. https://doi.org/10.1080/00207543.2014.921350
dc.relationChavez, J. H., & Torres-Rabello, R. (2012). Supply Chain Management: Logrando Ventajas Competitivas a través de la Gestión de la Cadena de Suministro. Ril editores.
dc.relationChen, I. J., & Paulraj, A. (2004). Towards a theory of supply chain management: The constructs and measurements. Journal of Operations Management, 22(2), 119–150. https://doi.org/10.1016/j.jom.2003.12.007
dc.relationChen, J., & Bell, P. C. (2011). Coordinating a decentralized supply chain with customer returns and price-dependent stochastic demand using a buyback policy. European Journal of Operational Research, 212(2), 293–300. https://doi.org/10.1016/j.ejor.2011.01.036
dc.relationChiacchio, F., Pennisi, M., Russo, G., Motta, S., & Pappalardo, F. (2014). Agent-based modeling of the immune system: NetLogo, a promising framework. In BioMed Research International (Vol. 2014). Hindawi Publishing Corporation. https://doi.org/10.1155/2014/907171
dc.relationChopra, S., & Meindl, P. (2001). Supply Chain Management--Strategy, Planning and Operation.
dc.relationChristopher, M. (2005). Logistics & Supply Chain Management.
dc.relationCifuentes, N. R., Méndez, J. S., & Orjuela, J. (2012). Consecuencias del Efecto Bullwhip alimplementar la estructura Vendor Managed Inventory. 10thLatin American and Caribbean Conference for Engineering and Technology, 10. https://docplayer.es/6409762-Consecuencias-del-efecto-bullwhip-al-implementar-la-estrutura-vendor-managed-inventory.html
dc.relationClaassen, M. J. T., Van Weele, A. J., & Van Raaij, E. M. (2008). Performance outcomes and success factors of vendor managed inventory (VMI). Supply Chain Management, 13(6), 406–414. https://doi.org/10.1108/13598540810905660
dc.relationClark, T., & Lee, H. G. (2000). Performance, interdependence and coordination in business‐to‐business electronic commerce and supply chain management. INFORMATION TECHNOLOGY AND MANAGEMENT, 1(1/2), 85–105. https://doi.org/10.1023/A:1019108621684
dc.relationCongreso de la República. (1997). Ley 395 de 1997. Por La Cual Se Declara de Interés Social Nacional y Como Prioridad Sanitaria La Erradicación de La Fiebre Aftosa En Todo El Territorio Colombiano y Se Dictan Otras Medidas Encaminadas a Este Fin”. https://www.ica.gov.co/getattachment/e73275d2-b626-458b-98f1-fea3d80ef95f/395.aspx
dc.relationCONtexto ganadero. (2018). Informe sobre el sacrificio legal de ganado en Colombia en 2018. Noticias Principales Sobre Ganadería y Agricultura En Colombia. https://www.contextoganadero.com/economia/por-que-esta-estancado-el-sacrificio-formal-de-ganado-bovino
dc.relationContraloría General de la República. (2018). ESTUDIO SECTORIAL SOBRE LA PRODUCCIÓN CÁRNICA BOVINA EN LA REGIÓN CARIBE.
dc.relationCorrea Espinal, A. A., Gómez Montoya, R. A., & Cano Arenas, J. A. (2010). GESTIÓN DE ALMACENES Y TECNOLOGÍAS DE LA INFORMACIÓN Y COMUNICACIÓN (TIC). ESTUDIOS GERENCIALES, 26(117), 145–171.
dc.relationCouncil of Supply Chain Management Professionals. (2019). Supply Chain Management. https://cscmp.org/
dc.relationCraven, T., Mittal, A., & Krejci, C. C. (2016). Effective Coordination in Regional Food Supply Chains. Industrial and Systems Engineering Conference. http://lib.dr.iastate.edu/imse_conf/104http://lib.dr.iastate.edu/imse_conf/104
dc.relationCreswell, J. W. (2009). Research Design: Qualitative, Quantitative and Mixed Approaches. In Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. https://doi.org/10.2307/1523157
dc.relationDANE. (2016a). Boletín técnico Cuentas Departamentales. https://www.dane.gov.co/files/investigaciones/pib/departamentales/B_2015/Bol_dptal_2017preliminar.pdf
dc.relationDANE. (2016b). Ganadería bovina para la producción de carne en Colombia, bajo las Buenas Prácticas Ganaderas (BPG). Boletín Mensual INSUMOS Y FACTORES ASOCIADOS A LA PRODUCCIÓN AGROPECUARIA. https://www.dane.gov.co/files/investigaciones/agropecuario/sipsa/Bol_Insumos_feb_2016.pdf
dc.relationDANE. (2019a). ¿Cómo vivimos? Censo Nacional de Población y Vivienda 2018. https://sitios.dane.gov.co/cnpv/#!/como_vivimos
dc.relationDANE. (2019b). Encuesta anual manufacturera (EAM).
dc.relationDelgado, C., & Castelo, B. M. (2013). Supply Chain Management. Encyclopedia of Corporate Social Responsibility, 2349–2357.
dc.relationDepartamento de Agricultura de los Estados Unidos. (2019). Beef Cattle & Meat Production. National Agricultural Library. https://www.nal.usda.gov/topics/beef-cattle-meat-production
dc.relationDepartamento Nacional de Planeación. (2005). CONPES 3376. Política Sanitaria y de Inocuidad Para Las Cadenas de La Carne de Ganado Bovino y de La Leche.
dc.relationDepartamento Nacional de Planeación. (2018). Cadena productiva de Carnes y Productos Cárnicos Estructura, Comercio Internacional y Protección.
dc.relationDuan, Q., & Warren Liao, T. (2013). Optimization of replenishment policies for decentralized and centralized capacitated supply chains under various demands. International Journal of Production Economics, 142(1), 194–204. https://doi.org/10.1016/j.ijpe.2012.11.004
dc.relationDyer, J. H., & Hatch, N. W. (2006). Relation-specific capabilities and barriers to knowledge transfers: creating advantage through network relationships. Strategic Management Journal, 27(8), 701–719. https://doi.org/10.1002/smj.543
dc.relationEksoz, C., Mansouri, S. A., & Bourlakis, M. (2014). Collaborative forecasting in the food supply chain: A conceptual framework. In International Journal of Production Economics (Vol. 158, pp. 120–135). Elsevier. https://doi.org/10.1016/j.ijpe.2014.07.031
dc.relationFang, D., & Puqing, W. (2015). Simulating the Structural Evolution in Agri-food Supply Chain. An Agent-based Model. 7th International Conference on Intelligent Human-Machine Systems and Cybernetics.
dc.relationFAO. (1993). ALMACENAMIENTO NO REFRIGERADO O REFRIGERADO DE LA CARNE FRESCA Y LOS SUBPRODUCTOS COMESTIBLES. Estructura y Funcionamiento de Mataderos Medianos En Países En Desarrollo. http://www.fao.org/3/T0566S/T0566S12.htm
dc.relationFAO. (2019a). Carne y productos cárnicos. Producción y Sanidad Animal.
dc.relationFAO. (2019b). Perspectivas Alimentarias - Resúmenes de Mercado. http://www.fao.org/%0Ahttp://www.fao.org/docrep/019/i3473s/i3473s.pdf
dc.relationFEDEGAN. (2017). Balance del sector ganadero colombiano en 2017. http://www.contextoganadero.com/economia/conozca-el-censo-pecuario-nacional-del-ica-2017
dc.relationFEDEGAN. (2018). Ganadería Colombiana Hoja de ruta 2018 - 2022. In Hoja De Ruta 2018 - 2022. http://static.fedegan.org.co.s3.amazonaws.com/publicaciones/Hoja_de_ruta_Fedegan.pdf
dc.relationFEDEGAN. (2019a). ¿A qué países exporta Colombia su carne bovina? Contexto Ganadero. https://www.fedegan.org.co/noticias/que-paises-exporta-colombia-su-carne-bovina
dc.relationFEDEGAN. (2019b). Costo de producción kilo en pie. Costos de Producción. https://www.fedegan.org.co/estadisticas/costos-produccion
dc.relationFEDEGAN. (2019c). Producción mundial de carne de bovino. Producción. https://www.fedegan.org.co/estadisticas/produccion-0
dc.relationFINAGRO. (2019). Ganadería bovina. Ganadería Bovina. https://www.finagro.com.co/article/ganadería-bovina
dc.relationFischer, C., & Hartman, M. (2010). Agri-food chain relationships. https://www.researchgate.net/publication/292470503_Agri-food_chain_relationships
dc.relationFritz, M., & Schiefer, G. (2008). Food chain management for sustainable food system development: a European research agenda. Agribusiness, 24(4), 440–452. https://doi.org/10.1002/agr.20172
dc.relationGalápago agroconsultores. (2018). LA GANADERÍA CÁRNICA BOVINA EN COLOMBIA. CIFRAS Y RETOS. https://www.galapagoagro.co/single-post/2018/10/18/LA-GANADERÍA-CÁRNICA-BOVINA-EN-COLOMBIA-CIFRAS-Y-RETOS
dc.relationGaneshkumar, C., Pachayappan, M., & Madanmohan, G. (2017). Agri-food Supply Chain Management: Literature Review. Intelligent Information Management, 09(02), 68–96. https://doi.org/10.4236/iim.2017.92004
dc.relationGhasemi, P., Khalili-Damghani, K., Hafezolkotob, A., & Raissi, S. (2017). A decentralized supply chain planning model: a case study of hardboard industry. International Journal of Advanced Manufacturing Technology, 93(9–12), 3813–3836. https://doi.org/10.1007/s00170-017-0802-3
dc.relationGiannoccaro, I. (2018). Centralized vs. decentralized supply chains: The importance of decision maker’s cognitive ability and resistance to change. Industrial Marketing Management, 73(December 2017), 59–69. https://doi.org/10.1016/j.indmarman.2018.01.034
dc.relationGiannoccaro, I., & Pontrandolfo, P. (2004). Supply chain coordination by revenue sharing contracts. International Journal of Production Economics, 89(2), 131–139. https://doi.org/10.1016/S0925-5273(03)00047-1
dc.relationGilbert, N. (2007). Agennt-Based Models. Agennt-Based Models (Quantitative Applications in the Social Sciences), 1–20. https://doi.org/10.1146/annurev-polisci-080812-191558
dc.relationGligor, David M., & Holcomb, M. C. (2012). Understanding the role of logistics capabilities in achieving supply chain agility: A systematic literature review. Supply Chain Management, 17(4), 438–453. https://doi.org/10.1108/13598541211246594
dc.relationGligor, David Marius, & Holcomb, M. C. (2014). Antecedents and consequences of integrating logistics capabilities across the supply chain. Transportation Journal, 53(2), 211–234. https://doi.org/10.1353/tnp.2014.0014
dc.relationGobernación de Arauca. (2016). Plan de Desarrollo Departamental Arauca 2016 - 2019.
dc.relationGoogle Maps. (2019). Mapa - Ciudad de Arauca.
dc.relationGrean, M., & Shaw, M. J. (2005). Supply-Chain Partnership between P&G and Wal-Mart. In E-Business Management (pp. 155–171). Kluwer Academic Publishers. https://doi.org/10.1007/0-306-47548-0_8
dc.relationGrekova, K., Calantone, R. J., Bremmers, H. J., Trienekens, J. H., & Omta, S. W. F. (2016). How environmental collaboration with suppliers and customers influences firm performance: Evidence from Dutch food and beverage processors. Journal of Cleaner Production, 112, 1861–1871. https://doi.org/10.1016/j.jclepro.2015.03.022
dc.relationGroße-Brockhoff, M., Klumpp, M., & Krome, D. (2011). Logistics capacity management – A theoretical review and applications to outbound logistics. Schriftenreihe Logistikforschung.
dc.relationGunasekaran, A., Patel, C., & Tirtiroglu, E. (2007). Performance measures and metrics in a supply chain environment. International Journal of Operations & Production Management, 21(1/2), 71–87.
dc.relationHaehling Von Lanzenauer, C., & Pilz-Glombik, K. (2002). Coordinating supply chain decisions: An optimization model. OR Spectrum, 24(1), 59–78. https://doi.org/10.1007/s291-002-8200-3
dc.relationHagelaar, G. J. L. ., & Van der Vorst, J. G. A. J. (2001). Environmental supply chain management: using life cycle assessment to structure supply chains. The International Food and Agribusiness Management Review, 4(4), 399–412.
dc.relationHaider, S. N., & Siddiqui, D. A. (2018). Impact of Logistics Capabilities on Mitigation of Supply Chain Uncertainty and Risk in Courier Firms in Pakistan. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3285075
dc.relationHandayati, Y., Simatupang, T. M., & Perdana, T. (2015). Agri-food supply chain coordination: the state-of-the-art and recent developments. Logistics Research, 8(1), 1–15. https://doi.org/10.1007/s12159-015-0125-4
dc.relationHandfield, R., Walton, S. V., Sroufe, R., & Melnyk, S. a. (2002). Applying environmental criteria to supplier assessment: A study in the application of the Analytical Hierarchy Process. European Journal of Operational Research, 141, 70–87. https://doi.org/10.1016/S0377-2217(01)00261-2
dc.relationHervani, A. a., Helms, M. M., & Sarkis, J. (2005). Performance measurement for green supply chain management. Benchmarking: An International Journal, 12(4), 330–353. https://doi.org/10.1108/14635770510609015
dc.relationHiggins, A. J., Miller, C. J., Archer, A. A., Ton, T., Fletcher, C. S., & McAllister, R. R. J. (2010). Challenges of operations research practice in agricultural value supply chain. Journal of the Operational Research Society, 61(6), 964–973.
dc.relationHmida, F. Ben, Séguy, A., & Dupas, R. (2012). MultiAgent Simulation and Evaluation of Supply Chain Control Architectures. {IFAC} Proceedings Volumes, 45(6), 781–786. https://doi.org/http://dx.doi.org/10.3182/20120523-3-RO-2023.00218
dc.relationHong, J., Zhang, Y., & Ding, M. (2018). Sustainable supply chain management practices , supply chain dynamic capabilities , and enterprise performance. Journal of Cleaner Production, 172, 3508–3519. https://doi.org/10.1016/j.jclepro.2017.06.093
dc.relationHuang, C.-J., & Huang, K.-P. (2012). The logistics capabilities scale for logistics service providers. Journal of Information and Optimization Sciences, 33(1), 135–148. https://doi.org/10.1080/02522667.2012.10700139
dc.relationHudnurkar, M., & Rathod, U. (2012). Collaborative supply chain: Insights from simulation. International Journal of Systems Assurance Engineering and Management, 3(2), 122–144. https://doi.org/10.1007/s13198-012-0114-9
dc.relationICA. (2007). Resolución 2341 de 2007. Por La Cual Se Reglamentan Las Condiciones Sanitarias y de Inocuidad En La Producción Primaria de Ganado Bovino y Bufalino Destinado Al Sacrificio Para Consumo Humano.
dc.relationICA. (2019a). CENSO PECUARIO 2018. CENSO PECUARIO.
dc.relationICA. (2019b). Programa IdentifICA. Normas IdenifICA. https://www.ica.gov.co/areas/pecuaria/servicios/identifica/avances.aspx
dc.relationINVIMA. (2020). PLANTAS DE BENEFICIO Y DESPOSTE DE LA ESPECIE BOVINA. Ministerio de Salud. https://www.invima.gov.co/documents/20143/426809/PLANTAS-DE-BENEFICIO-DE-BOVINOS-PORCINOS-AVES-DESPRESE-Y-DESPOSTE-FEBRERO-2020.pdf
dc.relationJawaad, M., & Zafar, S. (2020). Improving sustainable development and firm performance in emerging economies by implementing green supply chain activities. Sustainable Development, 28(1), 25–38. https://doi.org/10.1002/sd.1962
dc.relationJoong-Kun Cho, J., Ozment, J., & Sink, H. (2008). Logistics capability, logistics outsourcing and firm performance in an e-commerce market. International Journal of Physical Distribution & Logistics Management, 38(5), 336–359. https://doi.org/10.1108/09600030810882825
dc.relationJung, H., Frank Chen, F., & Jeong, B. (2008). Decentralized supply chain planning framework for third party logistics partnership. Computers and Industrial Engineering, 55(2), 348–364. https://doi.org/10.1016/j.cie.2007.12.017
dc.relationKähkönen, A.-K., Lintukangas, K., & Hallikas, J. (2018). The impact of total costs and strategic supply on risk management in project business. International Journal of Procurement Management, 11(2), 153–171.
dc.relationKing, R. P., & Phumpiu, P. F. (1996). Reengineering the Food Supply Chain: The ECR Initiative in the Grocery Industry. American Journal of Agricultural Economics, 78(5), 1181–1186. https://doi.org/10.2307/1243488
dc.relationKopanaki, E., & Smithson, S. (2003). The impact of a Continous Replenishment Program on Organisational Flexibility. In Towards the Knowledge Society (Vol. 105, pp. 15–29). https://doi.org/10.1007/978-0-387-35617-4
dc.relationKrishnan, H., Kapuscinski, R., & Butz, D. A. (2004). Coordinating Contracts for Decentralized Supply Chains with Retailer Promotional Effort. In Management Science (Vol. 50, Issue 1, pp. 48–63). INFORMS Inst.for Operations Res.and the Management Sciences. https://doi.org/10.1287/mnsc.1030.0154
dc.relationLai, K., Wong, C. W. Y., & Cheng, T. C. E. (2010). Bundling digitized logistics activities and its performance implications. Industrial Marketing Management, 39(2), 273–286.
dc.relationLambert, D. (2006). Supply Chain Management: Processes, Partnerships, Performance.
dc.relationLarson, P. D., & Rogers, D. S. (1998). Supply Chain Management: Definition, Growth and Approaches. Journal of Marketing Theory and Practice, 6(4), 1–5. https://doi.org/10.1080/10696679.1998.11501805
dc.relationLee, S., & Kumara, S. (2007). Decentralized supply chain coordination through auction markets: Dynamic lot-sizing in distribution networks. International Journal of Production Research, 45(20), 4715–4733. https://doi.org/10.1080/00207540600844050
dc.relationLi, G., Wang, Y., Huang, D., & Yang, H. (2017). Water-energy-food nexus in urban sustainable development: an agent-based model. International Journal of Crowd Science, 1(2), 121–132. https://doi.org/10.1108/ijcs-08-2017-0014
dc.relationLi, X. (2006). Multi-agent based modeling and analysis of collaboration strategies in supply chain. http://ro.uow.edu.au/theses/623/
dc.relationLópez Borbón, J. H. (2007). Control Optimo de Sistemas de Inventarios con Costo Promedio [Universidad de Sonora]. https://posgrado.mat.uson.mx/tesis/maestria/joaquin-lopez-borbon.pdf
dc.relationLu, C. S., & Yang, C. C. (2010). Logistics service capabilities and firm performance of international distribution center operators. Service Industries Journal, 30(2), 281–298. https://doi.org/10.1080/02642060802123392
dc.relationLuo, J, Chong, A. Y. L., Ngai, E. W. T., & Liu, M. J. (2015). Green Supply Chain Collaboration implementation in China: The mediating role of guanxi (Reprinted from Journal of Transportation Research, vol 71, pg 98-110). Transportation Research Part E-Logistics and Transportation Review, 74, 37–49. https://doi.org/10.1016/j.tre.2014.12.010
dc.relationLuo, Jianli, Ji, C., Qiu, C., & Jia, F. (2018). Agri-food supply chain management: Bibliometric and content analyses. Sustainability (Switzerland), 10(5). https://doi.org/10.3390/su10051573
dc.relationMentzer, J. T., DeWitt, W., Keebler, J. S., Min, S., Nix, N. W., Smith, C. D., & Zacharia, Z. G. (2001). DEFINING SUPPLY CHAIN MANAGEMENT. Journal of Business Logistics, 22(2), 1–25. https://doi.org/10.1002/j.2158-1592.2001.tb00001.x
dc.relationMentzer, J. T., Stank, T. P., & Esper, T. L. (2008). Supply Chain Management and Its Relationship To Logistics, Marketing, Production, and Operations Management. Journal of Business Logistics, 29(1), 31–46. https://doi.org/10.1002/j.2158-1592.2008.tb00067.x
dc.relationMichigan State University. Global Logistics Research Team. (1995). World class logistics : the challenge of managing continuous change.
dc.relationMinisterio de Agricultura Ganadería y Pesca - Argentina. (2014). ESTRATEGIAS DE COORDINACIÓN DE LA CADENA DE CARNE VACUNA. http://www.minagri.gob.ar/sitio/areas/bovinos/informacion_interes/informes_historicos/_archivos//000005=Casos de Estudio/101021-Estrategias de coordinación de la cadena de carne bovina.pdf.
dc.relationMinisterio de Agricultura y Desarrollo Rural. (2006). Decreto 3149 de 2006. Por El Cual Se Dictan Disposiciones Sobre La Comercialización, Transporte, Sacrificio de Ganado Bovino y Bufalino y Expendio de Carne En El Territorio Nacional. https://www.slideshare.net/Fedegan/decreto-3149-sept-13-de-2006
dc.relationMinisterio de Agricultura y Desarrollo Rural. (2010). Diagnóstico del sector en el mundo y punto de partida y diagnóstico del sector en Colombia Sector: Carne Bovina.
dc.relationMinisterio de Agricultura y Desarrollo Rural. (2012). La estructura de la producción de carne bovina en Colombia. Boletín Mensual: Insumos y Factores Asociados a La Producción Agropecuaria, 4, 75. https://www.dane.gov.co/files/investigaciones/agropecuario/sipsa/insumos_factores_de_produccion_octubre_2012.pdf
dc.relationMinisterio de Agricultura y Desarrollo Rural. (2019). Fiebre Aftosa. https://www.minagricultura.gov.co/Normatividad/Paginas/Decreto-1071-2015/CAPITULO-1-Fiebre-Aftosa.aspx
dc.relationMinisterio de Salud y Protección Social. (1993). Resolución 604 de 1993. https://www.alcaldiabogota.gov.co/sisjur/normas/Norma1.jsp?i=22641
dc.relationMinisterio de Salud y Protección Social. (2007a). Decreto 1500 de 2007. Por El Cual Se Establece El Reglamento Técnico a Través Del Cual Se Crea El Sistema Oficial de Inspección, Vigilancia y Control de La Carne, Productos Cárnicos Comestibles y Derivados Cárnicos Destinados Para El Consumo Humano y Los Requisitos Sanitarios .
dc.relationMinisterio de Salud y Protección Social. (2007b). Resolución 2905 de 2007. Por La Cual Se Establece El Reglamento Técnico Sobre Los Requisitos Sanitarios y de Inocuidad de La Carne y Productos Cárnicos Comestibles de La Especies Bovina y Bufalina Destinados Para El Consumo Humano. http://legal.legis.com.co/document/Index?obra=legcol&document=legcol_7599204237e3f034e0430a010151f034
dc.relationMinisterio de Salud y Protección Social. (2013a). Resolución 240 de 2013. Por La Cual Se Establecen Los Requisitos Sanitarios Para El Funcionamiento de Las Plantas de Beneficio Animal de Las Especies Bovina, Bufalina y Porcina, Plantas de Desposte y Almacenamiento, Comercialización, Expendio, Transporte, Importación o Exportaci.
dc.relationMinisterio de Salud y Protección Social. (2013b). Resolución 2674 de 2013. https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/DE/DIJ/resolucion-2674-de-2013.pdf
dc.relationMinisterio de Salud y Protección Social. (2013c). Resolución 3753 de 2013. Por La Cual Se Definen Los Lineamientos Técnicos Para La Formulación de Planes de Acción de Inspección, Vigilancia y Control de La Carne y Productos Cárnicos Comestibles a Lo Largo de La Cadena y Se Dictan Otras Disposiciones. http://biblioteca.saludcapital.gov.co/img_upload/03d591f205ab80e521292987c313699c/resolucion-3753-de-2013.pdf
dc.relationMinisterio de Salud y Protección Social. (2019). Decreto 1975 de 2019. https://dapre.presidencia.gov.co/normativa/normativa/DECRETO 1975 DEL 29 DE OCTUBRE DE 2019.pdf
dc.relationMinisterio de Trabajo. (2013). Diagnóstico del Departamento de Arauca.
dc.relationMohtadi, H. (2008). Information sharing in food supply chains. Canadian Journal of Agricultural Economics, 56(2), 163–178. https://doi.org/10.1111/j.1744-7976.2008.00123.x
dc.relationMorash, E. A., Dröge, C. L. M., & Vickery, S. K. (1996). Strategic Logistics Capabilities for Competitive Advantage and Firm Success. Journal of Business Logistics, 17, 1–22.
dc.relationMyrin, C. (2018). Understanding logistics capabilities in a transition towards supply chain agility in charity retailing. KTH Industrial Engineering and Management.
dc.relationNguyen, H. K., Chiong, R., Chica, M., Middleton, R. H., & Pham, D. T. K. (2019). Contract farming in the Mekong Delta’s rice supply chain: Insights from an agent-based modeling study. Journal of Artificial Societies and Social Simulation, 22(3). https://doi.org/10.18564/jasss.4008
dc.relationNorthwestern University. (1999). Netlogo. https://ccl.northwestern.edu/netlogo/
dc.relationOCDE FAO. (2017). PERSPECTIVAS AGRÍCOLAS 2017-2026. In Perspectivas Agrícolas 2017-2026. https://doi.org/10.1787/agr-data-en
dc.relationOLIVER, R. K., & WEBBER, M. D. (1982). Supply-chain management: logistics catches up with strategy. Logistics: The Strategic Issues, 63–75.
dc.relationOMS, & FAO. (1999). Codex Alimentarius, Higiene de los alimentos - Textos Básicos. Segunda Edición.
dc.relationOrjuela-Castro, J. A., Diaz Gamez, G. L., & Bernal Celemín, M. P. (2017). Model for logistics capacity in the perishable food supply chain. Communications in Computer and Information Science, 742, 225–237. https://doi.org/10.1007/978-3-319-66963-2_21
dc.relationOrjuela-Castro, J., & Adarme-Jaimes, W. (2018). Evaluating the supply chain design of fresh food on food security and logistics. Communications in Computer and Information Science, 915, 257–269. https://doi.org/10.1007/978-3-030-00350-0_22
dc.relationOrjuela Castro, J. A., Caicedo-Otavo, A. L., Ruiz-Moreno, A. F., & Adarme-Jaimes, W. (2016). Efecto de los mecanismos de integración externa en el desempeño logístico de cadenas Frutícolas. Un enfoque bajo dinámica de sistemas. Revista Colombiana de Ciencias Hortícolas, 10(2), 311–322. https://doi.org/10.17584/rcch.2016v10i2.5073
dc.relationOrmerod, P., & Rosewell, B. (2009). Validation and verification of agent-based models in the social sciences. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 5466 LNAI, 130–140. https://doi.org/10.1007/978-3-642-01109-2_10
dc.relationOsorio, C. (2016). Mecanismos de coordinación para la optimización del desempeño de la cadena logística humanitaria mediante modelamiento estocástico. Caso colombiano.
dc.relationPal, K. (2016). Agent-Based Simulation for Supply Chain Agent-Based Simulation for Supply Chain Transport Corridors. International Journal of Computer, Electrical, Automation, Control and Information Engineering, 9(7).
dc.relationPan, X., Han, C. S., Dauber, K., & Law, K. H. (2007). A multi-agent based framework for the simulation of human and social behaviors during emergency evacuations. AI and Society, 22(2), 113–132. https://doi.org/10.1007/s00146-007-0126-1
dc.relationParsa, P., Rossetti, M. D., Zhang, S., & Pohl, E. A. (2017). Quantifying the benefits of continuous replenishment program for partner evaluation. International Journal of Production Economics, 187, 229–245. https://doi.org/10.1016/j.ijpe.2017.02.017
dc.relationPeña, D. (2014). Fundamentos De Estadìstica. Alianza Editorial S.A.
dc.relationPerez, L., Dragicevic, S., & Gaudreau, J. (2019). A geospatial agent-based model of the spatial urban dynamics of immigrant population: A study of the island of Montreal, Canada. PLOS ONE, 14(7), e0219188. https://doi.org/10.1371/journal.pone.0219188
dc.relationPlà, L. M., Sandars, D. L., & Higgins, A. J. (2014). A perspective on operational research prospects for agriculture. Journal of the Operational Research Society, 65(7), 1078–1089.
dc.relationPNDU. (2020). Objetivos de Desarrollo Sostenible | PNUD. Online - Programa de Las Naciones Unidas Para El Desarrollo. https://www.undp.org/content/undp/es/home/sustainable-development-goals.html
dc.relationRaghunathan, S., & Yeh, A. B. (2001). Beyond EDI: Impact of Continuous Replenishment Program (CRP) between a Manufacturer and Its Retailers. Information Systems Research, 12(4), 406–419. https://doi.org/10.1287/isre.12.4.406.9701
dc.relationReina Usuga, M. L., Adarme Jaimes, W., & Suarez, O. E. (2012). Coordination on Agrifood Supply Chain. International Journal of Economics and Management Engineering, 6(11), 2849–2853.
dc.relationRosenzweig, E. D., Roth, A. V., & Dean, J. W. (2003). The influence of an integration strategy on competitive capabilities and business performance: An exploratory study of consumer products manufacturers. Journal of Operations Management, 21(4), 437–456. https://doi.org/10.1016/S0272-6963(03)00037-8
dc.relationRuiz, A. F., Caicedo, A. L., & Orjuela, J. A. (2015). Integración externa en las cadenas de suministro agroindustriales: Una revisión al estado del arte. Ingeniería, 20(2), 9–30. https://doi.org/10.1016/j.bbagen.2004.04.016
dc.relationSandberg, E., & Abrahamsson, M. (2011). Logistics capabilities for sustainable competitive advantage. International Journal of Logistics Research and Applications, 14(1), 61–75. https://doi.org/10.1080/13675567.2010.551110
dc.relationSarache-Castro, W. A., & Hernández Pérez, G. (2012). CADENAS DE ABASTECIMIENTO AGROINDUSTRIALES: FUNDAMENTOS CONCEPTUALES Y APROXIMACIONES A LOS CONTEXTOS COLOMBIANO Y CUBANO. In Logística y Cadenas de Abastecimiento Agroindustrial (1st ed., p. 189). Universidad Nacional de Colombia / Blanecolor S.A.S.
dc.relationSarmiento-Vásquez, A., & López-Sandoval, E. (2017). Una comparación cualitativa de la dinámica de sistemas, la simulación de eventos discretos y la simulación basada en agentes. Ingeniería Industrial, 35(035), 27. https://doi.org/10.26439/ing.ind2017.n035.1789
dc.relationShang, K. C., & Marlow, P. B. (2005). Logistics capability and performance in Taiwan’s major manufacturing firms. Transportation Research Part E: Logistics and Transportation Review, 41(3), 217–234. https://doi.org/10.1016/j.tre.2004.03.002
dc.relationShepelev, V., Almetova, Z., Larin, O., Shepelev, S., & Issenova, O. (2018). Optimization of the Operating Parameters of Transport and Warehouse Complexes. Transportation Research Procedia, 30, 236–244.
dc.relationSiggelkow, N., & Levinthal, D. A. (2003). Temporarily Divide to Conquer: Centralized, Decentralized, and Reintegrated Organizational Approaches to Exploration and Adaptation. Organization Science, 14(6). https://doi.org/10.1287/orsc.14.6.650.24870
dc.relationSimatupang, T. M., Wright, A. C., & Sridharan, R. (2004). Applying the theory of constraints to supply chain collaboration. Supply Chain Management, 9(1), 57–70. https://doi.org/10.1108/13598540410517584
dc.relationSmajgl, A., & Barreteau, O. (2014). Empirical Agent-Based Modelling - Challenges and Solutions. Springer. https://doi.org/10.1007/978-1-4614-6134-0
dc.relationSong, M., Zhao, Q., & Song, Z. (2016). Logistics Capabilities of Cement Transport Firm: Towards an Understanding of Capabilities Portfolio. 2016 International Conference on Logistics, Informatics and Service Sciences (LISS).
dc.relationStadtler, H. (2009). A framework for collaborative planning and state-of-the-art. OR Spectrum, 31, 5–30.
dc.relationStaudt, F. H., Di Mascolo, M., Alpan, G., & Rodriguez, C. M. T. (2014). Warehouse performance measurement : classification and mathematical expressions of indicators. ILS 2014 - 5th International Conference in Information Systems, Logìstics and Supply Chain, 22. https://hal.archives-ouvertes.fr/hal-01242034
dc.relationTako, A. A., & Robinson, S. (2012). The application of discrete event simulation and system dynamics in the logistics and supply chain context. Decision Support Systems, 52(4), 802–815. https://doi.org/10.1016/j.dss.2011.11.015
dc.relationTroisi, A., Wong, V., & Ratner, M. A. (2005). An agent-based approach for modeling molecular self-organization. Proceedings of the National Academy of Sciences of the United States of America, 102(2), 255–260. https://doi.org/10.1073/pnas.0408308102
dc.relationTsolakis, N. K., Keramydas, C. A., Toka, A. K., Aidonis, D. A., & Iakovou, E. T. (2014). Agrifood supply chain management: A comprehensive hierarchical decision-making framework and a critical taxonomy. Biosystems Engineering, 120, 47–64. https://doi.org/10.1016/j.biosystemseng.2013.10.014
dc.relationUtomo, D. S., Onggo, B. S., & Eldridge, S. (2018). Applications of agent-based modelling and simulation in the agri-food supply chains. European Journal of Operational Research, 269(3), 794–805. https://doi.org/10.1016/j.ejor.2017.10.041
dc.relationVan Der Rhee, B., Van Der Veen, J. A. A., Venugopal, V., & Nalla, V. R. (2010). A new revenue sharing mechanism for coordinating multi-echelon supply chains. Operations Research Letters, 38(4), 296–301. https://doi.org/10.1016/j.orl.2010.03.004
dc.relationVieira, C. M., & Martinho, C. (2011). an Agent-Based Collaborative Model for Supply Chain Management Simulation. Arshinder 2008.
dc.relationVillarraga, J., Carley, K. M., Wassick, J., & Sahinidis, N. (2017). Agent-based Modeling and Simulation for an Order-To-Cash Process using NetLogo Center for the Computational Analysis of Social and Organizational Systems CASOS technical report.
dc.relationWang, C., & Chen, X. (2013). Option contracts in fresh produce supply chain with circulation loss. Journal of Industrial Engineering and Management, 6(1 LISS 2012), 104–112. https://doi.org/10.3926/jiem.667
dc.relationWang, H., Guo, M., & Efstathiou, J. (2004). A game-theoretical cooperative mechanism design for a two-echelon decentralized supply chain. European Journal of Operational Research, 157(2), 372–388. https://doi.org/10.1016/S0377-2217(03)00233-9
dc.relationWarsanga, W. B. (2014). Coordination and Structure of Agri-Food Value Chains : Analysis of Banana Value Chain Strands in Tanzania. Journal of Economics and Sustainable Development, 5(7), 71–79. https://www.iiste.org/Journals/index.php/JEDS/article/view/12573/13078
dc.relationWilensky, U., & Rand, W. (2015). An Introduction to Agent-Based Modeling; Modeling Natural, Social, and Engineered Complex Systems with NetLogo. The MIT Press, Cambridge.
dc.relationXiang, X., Kennedy, R., & Madey, G. (2005). Verification and Validation of Agent-based Scientific Simulation Models. Agent-Directed Simulation Conference, 47–55. http://www.nd.edu/~nom/Papers/ADS019_Xiang.pdf
dc.relationXu, L., & Wang, S. (2012). Empirical Research on Construct of Chain Store Logistics Capability System. Scientific Search, 4, 10–17. https://doi.org/10.1192/bjp.111.479.1009-a
dc.relationYan, B., Wu, X. hua, Ye, B., & Zhang, Y. wang. (2017). Three-level supply chain coordination of fresh agricultural products in the Internet of Things. Industrial Management and Data Systems, 117(9), 1842–1865. https://doi.org/10.1108/IMDS-06-2016-0245
dc.relationYang, C.-C. (2012). Assessing the moderating effect of innovation capability on the relationship between logistics service capability and firm performance for ocean freight forwarders. International Journal of Logistics Research and Applications, 15(1), 53–69. https://doi.org/10.1080/13675567.2012.669469
dc.relationYao, Y., & Dresner, M. (2008). The inventory value of information sharing, continuous replenishment, and vendor-managed inventory. Transportation Research Part E: Logistics and Transportation Review, 44(3), 361–378. https://doi.org/10.1016/j.tre.2006.12.001
dc.relationZeebroeck, M. V., Linden, V. V., De Baerdemaeker, H. R., Nicolaï, B. M., & Tijskens, E. (2007). Impact damage of apples during transport and handling. Postharvest Biology and Technology, 45(2), 157–167.
dc.relationZhao, B., Kumar, K., Casey, G., & Soga, K. (2019). Agent-Based Model (ABM) for City-Scale Traffic Simulation: A Case Study on San Francisco. 2019, 203–212. https://doi.org/10.1680/icsic.64669.203
dc.relationZhao, G., Liu, S., & Lopez, C. (2017). A literature review on risk sources and resilience factors in agri-food supply chains. IFIP Advances in Information and Communication Technology, 506, 739–752. https://doi.org/10.1007/978-3-319-65151-4_66
dc.relationZhao, M., Dröge, C., & Stank, T. P. (2001). The effects of Logistics Capabilities on firm Performance: Customer - Focused versus Information - Focused capabilities. Journal of Business Logistics, 22(2), 91–107.
dc.relationZhou, L., Zhou, G., Qi, F., & Li, H. (2019). Research on coordination mechanism for fresh agri-food supply chain with option contracts. Kybernetes, 48(5), 1134–1156. https://doi.org/10.1108/K-08-2017-0291
dc.relationZhuo, N., & Ji, C. (2019). Toward livestock supply chain sustainability: A case study on supply chain coordination and sustainable development in the pig sector in China. International Journal of Environmental Research and Public Health, 16(18). https://doi.org/10.3390/ijerph16183241
dc.rightsAtribución-NoComercial-SinDerivadas 4.0 Internacional
dc.rightsAcceso abierto
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsDerechos reservados - Universidad Nacional de Colombia
dc.titleAprovechamiento de capacidades logísticas en cadenas de suministro agropecuarias
dc.typeOtro


Este ítem pertenece a la siguiente institución