Análisis del tiempo de respuesta en la distribución de alimentos en la etapa mediata del desastre para la zona norte establecida por la cruz roja colombiana.

101 páginas

Autores:: Bohórquez Gutiérrez, Lina Marcela

Tipo de recurso:

Fecha de publicación:: 2012

Institución:: Universidad de la Sabana

Repositorio:: Repositorio Universidad de la Sabana

Idioma:: spa

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dc.title.es_CO.fl_str_mv	Análisis del tiempo de respuesta en la distribución de alimentos en la etapa mediata del desastre para la zona norte establecida por la cruz roja colombiana.
title	Análisis del tiempo de respuesta en la distribución de alimentos en la etapa mediata del desastre para la zona norte establecida por la cruz roja colombiana.
spellingShingle	Análisis del tiempo de respuesta en la distribución de alimentos en la etapa mediata del desastre para la zona norte establecida por la cruz roja colombiana. Magíster en Diseño y Gestión de Procesos Prevención de desastres -- Investigaciones Transporte - Planificación -- Investigaciones Abastecimiento y distribución -- Investigaciones Modelos matemáticos -- Investigaciones
title_short	Análisis del tiempo de respuesta en la distribución de alimentos en la etapa mediata del desastre para la zona norte establecida por la cruz roja colombiana.
title_full	Análisis del tiempo de respuesta en la distribución de alimentos en la etapa mediata del desastre para la zona norte establecida por la cruz roja colombiana.
title_fullStr	Análisis del tiempo de respuesta en la distribución de alimentos en la etapa mediata del desastre para la zona norte establecida por la cruz roja colombiana.
title_full_unstemmed	Análisis del tiempo de respuesta en la distribución de alimentos en la etapa mediata del desastre para la zona norte establecida por la cruz roja colombiana.
title_sort	Análisis del tiempo de respuesta en la distribución de alimentos en la etapa mediata del desastre para la zona norte establecida por la cruz roja colombiana.
dc.creator.fl_str_mv	Bohórquez Gutiérrez, Lina Marcela
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	González Rodríguez, Leonardo José
dc.contributor.author.none.fl_str_mv	Bohórquez Gutiérrez, Lina Marcela
dc.contributor.author.fl_str_mv	Magíster en Diseño y Gestión de Procesos
dc.subject.es_CO.fl_str_mv	Prevención de desastres -- Investigaciones Transporte - Planificación -- Investigaciones Abastecimiento y distribución -- Investigaciones Modelos matemáticos -- Investigaciones
topic	Prevención de desastres -- Investigaciones Transporte - Planificación -- Investigaciones Abastecimiento y distribución -- Investigaciones Modelos matemáticos -- Investigaciones
description	101 páginas
publishDate	2012
dc.date.issued.none.fl_str_mv	2012
dc.date.accessioned.none.fl_str_mv	2013-07-31T16:39:08Z
dc.date.available.none.fl_str_mv	2013-07-31T16:39:08Z
dc.date.created.none.fl_str_mv	2013-07-31
dc.type.none.fl_str_mv	masterThesis
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dc.type.coar.fl_str_mv	http://purl.org/coar/resource_type/c_bdcc
dc.type.local.none.fl_str_mv	Tesis de maestría
dc.type.hasVersion.none.fl_str_mv	publishedVersion
dc.identifier.citation.none.fl_str_mv	Altay, N., & Green III, W. G. (2006). OR/MS research in disaster operations management. European Journal of Operational Research, 175 (1), 475-493. Apte, A. (2009). Humanitarian logistics: A new field of research and action. Foundations and Trends in Technology, Information and Operations Management. 3 (1) , pp. 1-100 Balcik, B., Beamon, B.M.(2008). Facility location in humanitarian relief. International Journal of Logistics Research and Applications. 11 (2) , pp. 101-121 Dctdctquq銀nw."I0. Arda, Y. (2004). A two-stage stochastic programming framework for transportation planning in disaster response. Journal of the Operational Research Society, 55 (1), pp. 43-53 Barbarosolu, G., Özdamar, L., Çevik, A. (2002). An interactive approach for hierarchical analysis of helicopter logistics in disaster relief operations. European Journal of Operational Research, 140 (1), pp. 118-133. Beamon, B.M., Balcik, B. (2008). Performance measurement in humanitarian relief chains. International Journal of Public Sector Management, 21 (1), pp. 4-25. Bellabdaoui, a., & Teghem, J. (2006). A mixed-integer linear programming model for the continuous casting planning. International Journal of Production Economics, 104(2), 260-270. doi:10.1016/j.ijpe.2004.10.016 Berman, O., Krass, D. (2002). The generalized maximal covering location problem. Computers and Operations Research, 29 (6), pp. 563-581. Berman, O., Krass, D., Drezner, Z.(2003). The gradual covering decay location problem on a network. European Journal of Operational Research, 151 (3), pp. 474-480. Bilgen, B., & Ozkarahan, I. (2007). A mixed-integer linear programming model for bulk grain blending and shipping. International Journal of Production Economics, 107(2), 555-571. doi:10.1016/j.ijpe.2006.11.008 Chang, M.-S., Tseng, Y.-L., & Chen, J.-W. (2007). A scenario planning approach for the flood emergency logistics preparation problem under uncertainty. Transportation Research Part E: Logistics and Transportation Review, 43(6), 737754. doi:10.1016/j.tre.2006.10.013 Chern, C. C., Chen, Y. L., & Kung, L. C. (2010). A heuristic relief transportation planning algorithm for emergency supply chain management. International Journal of Computer Mathematics, 87(7), 1638-1664. doi:10.1080/00207160802441256 De Angelis, V., Mecoli, M., Nikoi, C., Storchi, G. (2007). Multiperiod integrated routing and scheduling of World Food Programme cargo planes in Angola. Computers and Operations Research. 34 (6 SPEC. ISS.), pp. 1601-1615 Doerner, K.F., Gutjahr, W.J., Nolz, P.C.(2009). Multi-criteria location planning for public facilities in tsunami-prone coastal areas. OR Spectrum, 31 (3), pp. 651678. Döyen, A., Aras, N., Bardctquq銀nw."I0"*4234+0"A two-echelon stochastic facility location model for humanitarian relief logistics. Optimization Letters 6 (6) , pp. 1123-1145. Drezner, Z., Wesolowsky, G.O., Drezner, T.(2004). The gradual covering problem. Naval Research Logistics, 51 (6), pp. 841-855. Hu, Z.-H. (2011). A container multimodal transportation scheduling approach based on immune affinity model for emergency relief. Expert Systems with Applications, 38(3), 2632-2639. Elsevier Ltd. doi:10.1016/j.eswa.2010.08.053 Hua, Z., Yang, J., Huang, F., Xu, X.(2009). A static-dynamic strategy for spare part inventory systems with nonstationary stochastic demand. Journal of the Operational Research Society, 60 (9), pp. 1254-1263. Huang, M., Smilowitz, K., & Balcik, B. (2012). Models for relief routing: Equity, efficiency and efficacy. Transportation Research Part E: Logistics and Transportation Review, 48(1), 2-18. Elsevier Ltd. doi:10.1016/j.tre.2011.05.004 Huang, M.,Smilowitz, K.,Balcik, B.(2011). Models for relief routing: Equity, efficiency and efficacy. Procedia - Social and Behavioral Sciences. 17, pp. 416-437 Keskin, B. B., Li, S. (Rong), Steil, D., & Spiller, S. (2012). Analysis of an integrated maximum covering and patrol routing problem. Transportation Research Part E: Logistics and Transportation Review, 48(1), 215-232. Elsevier Ltd. doi:10.1016/j.tre.2011.07.005 Klose, A., Drexl, A.(2005). Facility location models for distribution system design. European Journal of Operational Research, 162 (1), pp. 4-29. Kovács, A. (2011). Optimizing the storage assignment in a warehouse served by milkrun logistics. International Journal of Production Economics, 133(1), 312-318. doi:10.1016/j.ijpe.2009.10.028 Li, A. C. Y., Nozick, L., Xu, N., & Davidson, R. (2012). Shelter location and transportation planning under hurricane conditions. Transportation Research Part E: Logistics and Transportation Review, 48(4), 715-729. Elsevier Ltd. doi:10.1016/j.tre.2011.12.004 Liberatore, F., Ortuño, M. T., Tirado, G., Vitoriano, B., & Scaparra, M. P. (2012). A hierarchical compromise model for the joint optimization of recovery operations and distribution of emergency goods in Humanitarian Logistics. Computers & Operations Research. doi:10.1016/j.cor.2012.03.019 Lodree Jr., E.J., Taskin, S.(2008). An insurance risk management framework for disaster relief and supply chain disruption inventory planning. Journal of the Operational Research Society, 59 (5), pp. 674-684. Ma, H. , Suo, C. (2006). A model for designing multiple products logistics networks, International Journal of Physical Distribution & Logistics Management, Vol. 36 Iss: 2, pp.127 - 135 Meepetchdee, Y. , Shah, N. (2007). Logistical network design with robustness and complexity considerations, International Journal of Physical Distribution & Logistics Management, Vol. 37 Iss: 3, pp.201 – 222 Mete, H. O., & Zabinsky, Z. B. (2010). Stochastic optimization of medical supply location and distribution in disaster management. International Journal of Production Economics, 126(1), 76-84. Elsevier. doi:10.1016/j.ijpe.2009.10.004 Nevado M. B. (2010). Manual de Logística Humanitaria en Catástrofes Nolz, P.C., Doerner, K.F., Gutjahr, W.J., Hartl, R.F.(2010). A Bi-objective metaheuristic for disaster relief operation planning. Studies in Computational Intelligence, 272, pp. 167-187. Noyan, N. (2012). Risk-averse two-stage stochastic programming with an application to disaster management. Computers & Operations Research, 39(3), 541-559. Elsevier. doi:10.1016/j.cor.2011.03.017 Oloruntoba, R., Gray, R.(2006). Humanitarian aid: An agile supply chain?. Supply Chain Management, 11 (2), pp. 115-120. Özdamar, L., Ekinci, E., Küçükyazici, B. (2004). Emergency logistics planning in natural disasters. Annals of Operations Research, 129 (1-4), pp. 217-245. Pal, P., Das, C.B., Panda, A., Bhunia, A.K. (2005) An application of real-coded genetic algorithm (for mixed integer non-linear programming in an optimal twowarehouse inventory policy for deteriorating items with a linear trend in demand and a fixed planning horizon). International Journal of Computer Mathematics 82 (2), 163-175 Rath, S., & Gutjahr, W. J. (2011). A math-heuristic for the warehouse location– routing problem in disaster relief. Computers & Operations Research, 1-15. Elsevier. doi:10.1016/j.cor.2011.07.016 Rawls, C.G., Turnquist, M.A.(2010). Pre-positioning of emergency supplies for disaster response. Transportation Research Part B: Methodological, 44 (4), pp. 521-534 Revelle, C.S., Eiselt, H.A.(2005). Location analysis: A synthesis and survey. European Journal of Operational Research, 165 (1), pp. 1-19. Rottkemper, B., Fischer, K., Blecken, A. (2012). A transshipment model for distribution and inventory relocation under uncertainty in humanitarian operations. Socio-Economic Planning Sciences 46 (1) , pp. 98-109 Rottkemper, B., Fischer, K., Blecken, A., Danne, C.(2011). Inventory relocation for overlapping disaster settings in humanitarian operations. OR Spectrum, 33 (3), pp. 721-749. Saadatseresht, M., Mansourian, A., & Taleai, M. (2009). Evacuation planning using multiobjective evolutionary optimization approach. European Journal of Operational Research, 198(1), 305-314. Elsevier B.V. doi:10.1016/j.ejor.2008.07.032 Salmerón, J., Apte, A.(2010). Stochastic optimization for natural disaster asset prepositioning. Production and Operations Management, 19 (5), pp. 561-574 Tang, C. S. (2006). Perspectives in supply chain risk management. International Journal of Production Economics, 103(2), 451-488. doi:10.1016/j.ijpe.2005.12.006 Thanh, P. N., Bostel, N., & Péton, O. (2012). A DC programming heuristic applied to the logistics network design problem. International Journal of Production Economics, 135(1), 94-105. doi:10.1016/j.ijpe.2010.09.025 Thomas, M.U.(2002). Supply chain reliability for contingency operations. Proceedings of the Annual Reliability and Maintainability Symposium, pp. 61-67. Tzeng, G.-H., Cheng, H.-J., Huang, T.D.(2007). Multi-objective optimal planning for designing relief delivery systems . Transportation Research Part E: Logistics and Transportation Review, 43 (6), pp. 673-686. Van Wassenhove, L. N. (2006). Blackett Memorial Lecturew Humanitarian aid logistics: supply chain management in high gear. Journal of the Operational Research Society , 57, 475-489. Viswanath, K., Peeta, S. (2003). Multicommodity Maximal Covering Network Design Problem for Planning Critical Routes for Earthquake Response. Transportation Research Record, (1857), pp. 1-10. Yi, W., & Özdamar, L. (2007). A dynamic logistics coordination model for evacuation and support in disaster response activities. European Journal of Operational Research, 179(3), 1177-1193. doi:10.1016/j.ejor.2005.03.077 Yi, W., Kumar, A.(2007). Ant colony optimization for disaster relief operations. Transportation Research Part E: Logistics and Transportation Review, 43 (6), pp. 660-672. Yokoya, D. , Yamada, T. (2011). A mathematical programming approach to the construction of BIBDs. International Journal of Computer Mathematics 88 (5), 1067-1082 Zhang, J.-H., Li, J., & Liu, Z.-P. (2012). Multiple-resource and multiple-depot emergency response problem considering secondary disasters. Expert Systems with Applications, 39(12), 11066-11071. Elsevier Ltd. doi:10.1016/j.eswa.2012.03.016
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identifier_str_mv	Altay, N., & Green III, W. G. (2006). OR/MS research in disaster operations management. European Journal of Operational Research, 175 (1), 475-493. Apte, A. (2009). Humanitarian logistics: A new field of research and action. Foundations and Trends in Technology, Information and Operations Management. 3 (1) , pp. 1-100 Balcik, B., Beamon, B.M.(2008). Facility location in humanitarian relief. International Journal of Logistics Research and Applications. 11 (2) , pp. 101-121 Dctdctquq銀nw."I0. Arda, Y. (2004). A two-stage stochastic programming framework for transportation planning in disaster response. Journal of the Operational Research Society, 55 (1), pp. 43-53 Barbarosolu, G., Özdamar, L., Çevik, A. (2002). An interactive approach for hierarchical analysis of helicopter logistics in disaster relief operations. European Journal of Operational Research, 140 (1), pp. 118-133. Beamon, B.M., Balcik, B. (2008). Performance measurement in humanitarian relief chains. International Journal of Public Sector Management, 21 (1), pp. 4-25. Bellabdaoui, a., & Teghem, J. (2006). A mixed-integer linear programming model for the continuous casting planning. International Journal of Production Economics, 104(2), 260-270. doi:10.1016/j.ijpe.2004.10.016 Berman, O., Krass, D. (2002). The generalized maximal covering location problem. Computers and Operations Research, 29 (6), pp. 563-581. Berman, O., Krass, D., Drezner, Z.(2003). The gradual covering decay location problem on a network. European Journal of Operational Research, 151 (3), pp. 474-480. Bilgen, B., & Ozkarahan, I. (2007). A mixed-integer linear programming model for bulk grain blending and shipping. International Journal of Production Economics, 107(2), 555-571. doi:10.1016/j.ijpe.2006.11.008 Chang, M.-S., Tseng, Y.-L., & Chen, J.-W. (2007). A scenario planning approach for the flood emergency logistics preparation problem under uncertainty. Transportation Research Part E: Logistics and Transportation Review, 43(6), 737754. doi:10.1016/j.tre.2006.10.013 Chern, C. C., Chen, Y. L., & Kung, L. C. (2010). A heuristic relief transportation planning algorithm for emergency supply chain management. International Journal of Computer Mathematics, 87(7), 1638-1664. doi:10.1080/00207160802441256 De Angelis, V., Mecoli, M., Nikoi, C., Storchi, G. (2007). Multiperiod integrated routing and scheduling of World Food Programme cargo planes in Angola. Computers and Operations Research. 34 (6 SPEC. ISS.), pp. 1601-1615 Doerner, K.F., Gutjahr, W.J., Nolz, P.C.(2009). Multi-criteria location planning for public facilities in tsunami-prone coastal areas. OR Spectrum, 31 (3), pp. 651678. Döyen, A., Aras, N., Bardctquq銀nw."I0"*4234+0"A two-echelon stochastic facility location model for humanitarian relief logistics. Optimization Letters 6 (6) , pp. 1123-1145. Drezner, Z., Wesolowsky, G.O., Drezner, T.(2004). The gradual covering problem. Naval Research Logistics, 51 (6), pp. 841-855. Hu, Z.-H. (2011). A container multimodal transportation scheduling approach based on immune affinity model for emergency relief. Expert Systems with Applications, 38(3), 2632-2639. Elsevier Ltd. doi:10.1016/j.eswa.2010.08.053 Hua, Z., Yang, J., Huang, F., Xu, X.(2009). A static-dynamic strategy for spare part inventory systems with nonstationary stochastic demand. Journal of the Operational Research Society, 60 (9), pp. 1254-1263. Huang, M., Smilowitz, K., & Balcik, B. (2012). Models for relief routing: Equity, efficiency and efficacy. Transportation Research Part E: Logistics and Transportation Review, 48(1), 2-18. Elsevier Ltd. doi:10.1016/j.tre.2011.05.004 Huang, M.,Smilowitz, K.,Balcik, B.(2011). Models for relief routing: Equity, efficiency and efficacy. Procedia - Social and Behavioral Sciences. 17, pp. 416-437 Keskin, B. B., Li, S. (Rong), Steil, D., & Spiller, S. (2012). Analysis of an integrated maximum covering and patrol routing problem. Transportation Research Part E: Logistics and Transportation Review, 48(1), 215-232. Elsevier Ltd. doi:10.1016/j.tre.2011.07.005 Klose, A., Drexl, A.(2005). Facility location models for distribution system design. European Journal of Operational Research, 162 (1), pp. 4-29. Kovács, A. (2011). Optimizing the storage assignment in a warehouse served by milkrun logistics. International Journal of Production Economics, 133(1), 312-318. doi:10.1016/j.ijpe.2009.10.028 Li, A. C. Y., Nozick, L., Xu, N., & Davidson, R. (2012). Shelter location and transportation planning under hurricane conditions. Transportation Research Part E: Logistics and Transportation Review, 48(4), 715-729. Elsevier Ltd. doi:10.1016/j.tre.2011.12.004 Liberatore, F., Ortuño, M. T., Tirado, G., Vitoriano, B., & Scaparra, M. P. (2012). A hierarchical compromise model for the joint optimization of recovery operations and distribution of emergency goods in Humanitarian Logistics. Computers & Operations Research. doi:10.1016/j.cor.2012.03.019 Lodree Jr., E.J., Taskin, S.(2008). An insurance risk management framework for disaster relief and supply chain disruption inventory planning. Journal of the Operational Research Society, 59 (5), pp. 674-684. Ma, H. , Suo, C. (2006). A model for designing multiple products logistics networks, International Journal of Physical Distribution & Logistics Management, Vol. 36 Iss: 2, pp.127 - 135 Meepetchdee, Y. , Shah, N. (2007). Logistical network design with robustness and complexity considerations, International Journal of Physical Distribution & Logistics Management, Vol. 37 Iss: 3, pp.201 – 222 Mete, H. O., & Zabinsky, Z. B. (2010). Stochastic optimization of medical supply location and distribution in disaster management. International Journal of Production Economics, 126(1), 76-84. Elsevier. doi:10.1016/j.ijpe.2009.10.004 Nevado M. B. (2010). Manual de Logística Humanitaria en Catástrofes Nolz, P.C., Doerner, K.F., Gutjahr, W.J., Hartl, R.F.(2010). A Bi-objective metaheuristic for disaster relief operation planning. Studies in Computational Intelligence, 272, pp. 167-187. Noyan, N. (2012). Risk-averse two-stage stochastic programming with an application to disaster management. Computers & Operations Research, 39(3), 541-559. Elsevier. doi:10.1016/j.cor.2011.03.017 Oloruntoba, R., Gray, R.(2006). Humanitarian aid: An agile supply chain?. Supply Chain Management, 11 (2), pp. 115-120. Özdamar, L., Ekinci, E., Küçükyazici, B. (2004). Emergency logistics planning in natural disasters. Annals of Operations Research, 129 (1-4), pp. 217-245. Pal, P., Das, C.B., Panda, A., Bhunia, A.K. (2005) An application of real-coded genetic algorithm (for mixed integer non-linear programming in an optimal twowarehouse inventory policy for deteriorating items with a linear trend in demand and a fixed planning horizon). International Journal of Computer Mathematics 82 (2), 163-175 Rath, S., & Gutjahr, W. J. (2011). A math-heuristic for the warehouse location– routing problem in disaster relief. Computers & Operations Research, 1-15. Elsevier. doi:10.1016/j.cor.2011.07.016 Rawls, C.G., Turnquist, M.A.(2010). Pre-positioning of emergency supplies for disaster response. Transportation Research Part B: Methodological, 44 (4), pp. 521-534 Revelle, C.S., Eiselt, H.A.(2005). Location analysis: A synthesis and survey. European Journal of Operational Research, 165 (1), pp. 1-19. Rottkemper, B., Fischer, K., Blecken, A. (2012). A transshipment model for distribution and inventory relocation under uncertainty in humanitarian operations. Socio-Economic Planning Sciences 46 (1) , pp. 98-109 Rottkemper, B., Fischer, K., Blecken, A., Danne, C.(2011). Inventory relocation for overlapping disaster settings in humanitarian operations. OR Spectrum, 33 (3), pp. 721-749. Saadatseresht, M., Mansourian, A., & Taleai, M. (2009). Evacuation planning using multiobjective evolutionary optimization approach. European Journal of Operational Research, 198(1), 305-314. Elsevier B.V. doi:10.1016/j.ejor.2008.07.032 Salmerón, J., Apte, A.(2010). Stochastic optimization for natural disaster asset prepositioning. Production and Operations Management, 19 (5), pp. 561-574 Tang, C. S. (2006). Perspectives in supply chain risk management. International Journal of Production Economics, 103(2), 451-488. doi:10.1016/j.ijpe.2005.12.006 Thanh, P. N., Bostel, N., & Péton, O. (2012). A DC programming heuristic applied to the logistics network design problem. International Journal of Production Economics, 135(1), 94-105. doi:10.1016/j.ijpe.2010.09.025 Thomas, M.U.(2002). Supply chain reliability for contingency operations. Proceedings of the Annual Reliability and Maintainability Symposium, pp. 61-67. Tzeng, G.-H., Cheng, H.-J., Huang, T.D.(2007). Multi-objective optimal planning for designing relief delivery systems . Transportation Research Part E: Logistics and Transportation Review, 43 (6), pp. 673-686. Van Wassenhove, L. N. (2006). Blackett Memorial Lecturew Humanitarian aid logistics: supply chain management in high gear. Journal of the Operational Research Society , 57, 475-489. Viswanath, K., Peeta, S. (2003). Multicommodity Maximal Covering Network Design Problem for Planning Critical Routes for Earthquake Response. Transportation Research Record, (1857), pp. 1-10. Yi, W., & Özdamar, L. (2007). A dynamic logistics coordination model for evacuation and support in disaster response activities. European Journal of Operational Research, 179(3), 1177-1193. doi:10.1016/j.ejor.2005.03.077 Yi, W., Kumar, A.(2007). Ant colony optimization for disaster relief operations. Transportation Research Part E: Logistics and Transportation Review, 43 (6), pp. 660-672. Yokoya, D. , Yamada, T. (2011). A mathematical programming approach to the construction of BIBDs. International Journal of Computer Mathematics 88 (5), 1067-1082 Zhang, J.-H., Li, J., & Liu, Z.-P. (2012). Multiple-resource and multiple-depot emergency response problem considering secondary disasters. Expert Systems with Applications, 39(12), 11066-11071. Elsevier Ltd. doi:10.1016/j.eswa.2012.03.016 254653 TE05944
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spelling	González Rodríguez, Leonardo JoséBohórquez Gutiérrez, Lina MarcelaMagíster en Diseño y Gestión de Procesos2013-07-31T16:39:08Z2013-07-31T16:39:08Z2013-07-312012Altay, N., & Green III, W. G. (2006). OR/MS research in disaster operations management. European Journal of Operational Research, 175 (1), 475-493.Apte, A. (2009). Humanitarian logistics: A new field of research and action. Foundations and Trends in Technology, Information and Operations Management. 3 (1) , pp. 1-100Balcik, B., Beamon, B.M.(2008). Facility location in humanitarian relief. International Journal of Logistics Research and Applications. 11 (2) , pp. 101-121Dctdctquq銀nw."I0. Arda, Y. (2004). A two-stage stochastic programming framework for transportation planning in disaster response. Journal of the Operational Research Society, 55 (1), pp. 43-53Barbarosolu, G., Özdamar, L., Çevik, A. (2002). An interactive approach for hierarchical analysis of helicopter logistics in disaster relief operations. European Journal of Operational Research, 140 (1), pp. 118-133.Beamon, B.M., Balcik, B. (2008). Performance measurement in humanitarian relief chains. International Journal of Public Sector Management, 21 (1), pp. 4-25.Bellabdaoui, a., & Teghem, J. (2006). A mixed-integer linear programming model for the continuous casting planning. International Journal of Production Economics, 104(2), 260-270. doi:10.1016/j.ijpe.2004.10.016Berman, O., Krass, D. (2002). The generalized maximal covering location problem. Computers and Operations Research, 29 (6), pp. 563-581.Berman, O., Krass, D., Drezner, Z.(2003). The gradual covering decay location problem on a network. European Journal of Operational Research, 151 (3), pp. 474-480.Bilgen, B., & Ozkarahan, I. (2007). A mixed-integer linear programming model for bulk grain blending and shipping. International Journal of Production Economics, 107(2), 555-571. doi:10.1016/j.ijpe.2006.11.008Chang, M.-S., Tseng, Y.-L., & Chen, J.-W. (2007). 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Elsevier Ltd. doi:10.1016/j.eswa.2012.03.016http://hdl.handle.net/10818/8194254653TE05944101 páginasActualmente el sistema nacional de atención y prevención de desastres de Colombia no ha realizado estudios previos con respecto a los tiempos de respuesta del sistema de distribución de ayudas a la población afectada por los desastres, la distribución es inmediata pero las características del sistema no se tienen en cuenta en su totalidad. El presente trabajo propone un modelo que representará la distribución de alimentos para población afectada. El método de solución del modelo será Programación Entera Mixta. El modelo determinará el menor tiempo de respuesta, la cantidad de alimento, el tipo de transporte a ser usado y la ruta adecuada para la distribución. Una vez se realizó la prueba del modelo, se hizo la comparación con datos históricos y se observó una reducción de tiempo de respuesta entre el 15% y el 24%. Nota: Para consultar la carta de autorización de publicación de este documento por favor copie y pegue el siguiente enlace en su navegador de internet: http://hdl.handle.net/10818/8664spaUniversidad de La SabanaMaestría en Diseño y Gestión de ProcesosFacultad de IngenieríaUniversidad de La SabanaIntellectum Repositorio Universidad de La SabanaPrevención de desastres -- InvestigacionesTransporte - Planificación -- InvestigacionesAbastecimiento y distribución -- InvestigacionesModelos matemáticos -- InvestigacionesAnálisis del tiempo de respuesta en la distribución de alimentos en la etapa mediata del desastre para la zona norte establecida por la cruz roja colombiana.masterThesisTesis de maestríapublishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_bdcchttp://purl.org/coar/access_right/c_abf2LICENSElicense.txtlicense.txttext/plain; charset=utf-8498https://intellectum.unisabana.edu.co/bitstream/10818/8194/2/license.txtf52a2cfd4df262e08e9b300d62c85cabMD52LINA MARCELA BOHORQUEZ (carta).pdfLINA MARCELA BOHORQUEZ (carta).pdfapplication/pdf1170615https://intellectum.unisabana.edu.co/bitstream/10818/8194/5/LINA%20MARCELA%20BOHORQUEZ%20%28carta%29.pdf237ba283b4d6340a28ad23f32dbe0609MD55ORIGINALLINA MARCELA BOHORQUEZ (T)_254653 FINAL.pdfLINA MARCELA BOHORQUEZ (T)_254653 FINAL.pdfVer documento en PDFapplication/pdf4334518https://intellectum.unisabana.edu.co/bitstream/10818/8194/3/LINA%20MARCELA%20BOHORQUEZ%20%28T%29_254653%20FINAL.pdf75474ec0227abf5a199ac4855724bd5aMD53TEXTLINA MARCELA BOHORQUEZ (T)_254653 FINAL.pdf.txtLINA MARCELA BOHORQUEZ (T)_254653 FINAL.pdf.txtExtracted Texttext/plain103https://intellectum.unisabana.edu.co/bitstream/10818/8194/4/LINA%20MARCELA%20BOHORQUEZ%20%28T%29_254653%20FINAL.pdf.txt872783e413b530c4cf460f1baafc5171MD5410818/8194oai:intellectum.unisabana.edu.co:10818/81942019-10-10 16:35:39.25Intellectum Universidad de la Sabanacontactointellectum@unisabana.edu.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

Análisis del tiempo de respuesta en la distribución de alimentos en la etapa mediata del desastre para la zona norte establecida por la cruz roja colombiana.

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