• Research Articles

    Development of mathematical model of logistics humanitarian assistance with resilience to risk management in earthquakes and earthquakes in Caqueza, Cundinamarca

    Vol. 15 No. 1 (2019)
    Published: 2019-01-15
    José Eduardo Barragán Acevedo
    Universidad Libre
    Ludwig Ben Roald Castañeda Tenjo
    Universidad Libre
    Ever Ángel Fuentes
    Universidad Libre

    Introduction: the article is the product of the research “Development of a mathematical model of humanitaria logistics with resilience for risk management in earthquakes and earthquakes in Cádiz, Cundinamarca”, deveped during 2017 and 2018, in the Faculty of Industrial Engineering of the University Free in Colombia.

    Problem: the municipality of Cáqueza, due to its geographical characteristics, presents vulnerability to earth-quakes and does not have a post-disaster logistic plan in accordance with the risk needs of its inhabitants.

    Objective: to develop a mathematical model of humanitarian logistics with resilience for risk management in earthquakes in Cávelo, Cundinamarca.

    Methodology: diagnosis and measurement of the community resilience index in Cabala to propose a model of humanitarian logistics. The parameters, variables and restrictions are described and validated through computer tools such as Open Solver and Promodel.

    Results: a humanitarian logistic model was developed that responds to the reality of the municipality by determing the ideal way to transport, store and distribute provisions to a population with resilient demand.

    Conclusion: a tool is generated that provides the Cábala community with a post-disaster logistic model according to their characteristics and needs, which allows them to react to reduce the mortality rate in the event of an earthquake.

    Originality: application of resilience in the risk management scenario, with the incorporation of the characteristics of the community to the mathematical models of humanitarian logistics.

    Limitations: the proposed model is solved from linear programming and does not take into account probabilistic variables.

    Keywords: humanitarian logistics, resilience, mathematical model, application flexibility, risk managament

    How to Cite

    [1]
    J. E. Barragán Acevedo, L. B. R. Castañeda Tenjo, and E. Ángel Fuentes, “Development of mathematical model of logistics humanitarian assistance with resilience to risk management in earthquakes and earthquakes in Caqueza, Cundinamarca”, ing. Solidar, vol. 15, no. 1, pp. 1–33, Jan. 2019, doi: 10.16925/2357-6014.2019.01.02.

    Organización Panamericana de Salud. (1990). Protección de la salud mental en situaciones de desastres y emergencias. [PDF en línea]. Disponible en http://counselingamericas.org/pdf/libros/03_LibroProtecciondelaSaludMental.pdf

    Q. Lu, M. Goh, R. De Souza, "Learning mechanisms for humanitarian logistics", Journal of Humanitarian Logistics and Supply Chain Management, vol. 3 no. 2, pp.149-160, 2013, doi: https://doi.org/10.1108/JHLSCM-10-2012-001

    G. Kovács, K. Spens, "Identifying challenges in humanitarian logistics", International Journal of Physical Distribution & Logistics Management, vol. 39, no. 6, pp. 506-528, 2009, doi: https://doi.org/10.1108/09600030910985848

    A. Haghani, S.C Oh, “Formulation and solution of a multi-commodity, multi-modal network flow model for disaster relief operations”, Transportation Research Part A: Policy and Practice, vol. 30, no. 3, pp. 235-237, 1996, doi: https://doi.org/10.1016/0965-8564(95)00020-8

    G. H. Tzeng, “Multiobjective optimal planning for designing relief delivery systems”, Transportation Research Part E: Logistics and Transportation Review , vol. 43, no. 6, pp. 673-686, 2007, doi: https://doi.org/10.1016/j.tre.2006.10.012

    J. T. Rodríguez, B. Vitoriano, J. Montero, A. Omaña, “A natural disaster management DSS for humanitarian non-governmental organisations. Knowledge-Based Systems”, Knowledge-Based Systems, vol. 23, Issue 1, pp. 17-22, 2010, febr, doi: https://doi.org/10.1016/j.knosys.2009.07.009

    S. Luthar, D. Cicchetti, “The construct of resilience: Implications for interventions and social policies”, Development and Psychopathology, vol. 12, no. 4, pp. 857-885, 2000, doi: http://dx.doi.org/10.1017/S0954579400004156

    J. Uriarte. “La perspectiva comunitaria de la resiliencia”, Psicología Política, no. 47. pp. 7-18, 2013. [En línea]. Disponible en: https://www.uv.es/garzon/psicologia%20politica/N47-1.pdf

    J. Twigg. (2007), Características de una comunidad resiliente ante los desastres. Nota guía, pp. 8-9. [En línea]. Disponible en: http://www.eird.org/wikies/images/Spanish_Characteristics_disaster_high_res.pdf

    F. Salazar, J. Cavazos, G. Vargas, “Logística Humanitaria: Un enfoque del Suministro desde las Cadenas Agroalimentarias”. Inf. tecnol, vol. 25, no.4, pp.43-50, 2014, doi: http://dx.doi.org/10.4067/S0718-07642014000400007

    A. Sheppard, P. Tatham, R. Fisher, R. Gapp, "Humanitarian logistics: enhancing the engagement of local populations", Journal of Humanitarian Logistics and Supply Chain Management, vol. 3 Issue: 1, pp. 22-36, 2013, doi: https://doi.org/10.1108/20426741311328493

    M. Safeer, S.P. Anbuudayasankar, K. Balkumar, K. Ganesh, “Analyzing transportation and distribution in emergency humanitarian logistics”, Procedia Engineering, vol. 97, pp. 2248-2258, 2014, doi: https://doi.org/10.1016/j.proeng.2014.12.469

    D. Ospina, “La medición de la resiliencia”, Invest. educ. enferm, vol.25 no.1. pp. 58-65. 2007, doi: http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-53072007000100006

    J. Ruiz, “Resiliencia comunitaria: propuesta de una escala y su relación con indicadores de violencia criminal”, Pensamiento Psicológico, vol. 13 no. 1, pp. 119-135, 2015. [En línea]. Disponible en: http://www.redalyc.org/articulo.oa?id=80140030009

    O. Cohen, D. Leykin, M. Lahad, A. Goldberg, L. Aharonson-Daniel. “The conjoint community resiliency assessment measure as a baseline for profiling and predicting community resilience for emergencies”, Technological Forecasting and Social Change, vol. 80, no. 9, pp. 1732-1741, 2013, https://doi.org/10.1016/j.techfore.2012.12.009

    J. Joerin, R. Shaw, Y. Takeuchi, R. Krishnamurty, “Assessing community resilience to climate-related disasters in Chennai, India”, International Journal of Disaster Risk Reduction, vol 1, no. 1, pp. 44-54, 2012. https://doi.org/10.1016/j.ijdrr.2012.05.006

    G. Skerrat, “Community resilience, policy corridors and the policy challenge”, Land Use Policy, vol. 31, pp. 298-310, 2013. https://doi.org/10.1016/j.landusepol.2012.07.011.

    G. Wilson, “Community resilience, globalization, and transitional pathways of decision-making”, Geoforum, vol. 43, no. 6, pp. 1218-1231, 2012. https://doi.org/10.1016/j.geoforum.2012.03.008.

    H. Lange, K. Kramer, J. Faber, “Two approaches using traits to assess ecological resilience: a case study on earthworm communities”, Basic and Applied Ecology, vol. 14, no. 1, pp. 64-73, 2013 https://doi.org/10.1016/j.baae.2012.10.009

    E. Suárez-Ojeda. (2001), “Una concepción latinoamericana: la resiliencia comunitaria”. En A. Melillo, E. N. Suárez-Ojeda (Coord.), Resiliencia: descubriendo las propias fortalezas, pp. 67-82, Buenos Aires: Paidós, [En línea]. Disponible en: https://dialnet.unirioja.es/servlet/articulo?codigo=2979469

    Páez, D. (2014), Trauma, resiliencia y crecimiento post-traumático (personal y colectivo). Trabajo presentado en el Seminario sobre Impacto Psicosocial de Eventos Colectivos, pp. 15-50, [En línea].

    R. Campo, L. Granados, L. Muñoz, M. Rodríguez, S. García, “Caracterización del avance teórico, investigativo y/o de intervención en resiliencia desde el ámbito de las universidades en Colombia”, Universitas Psychologica, vol. 11, no. 2, pp. 545-557, 2012. [En línea]. Disponible en: http://www.scielo.org.co/pdf/rups/v11n2/v11n2a16.pdf

    Alcaldía municipal de Cáqueza. [En línea].http://www.caqueza-cundinamarca.gov.co/tema/municipio

    Servicio Geológico Colombiano. [En línea]. Disponible en: https://www2.sgc.gov.co/bus/Paginas/results.aspx?k=caqueza

    N. Pahl, A. Richter, (2007), Swot Analysis. Idea, Methodology and a practical approach Norderstdt – Alemania, pp. 7.

    B. Franklin, (2007), Auditoría Administrativa. p. 75. [En línea]. Disponible en: https://books.google.com.co/books?id=Cg7So8EZjlIC&printsec=frontcover&dq=auditoria+administrativa+franklin&hl=es&sa=X&ved=0ahUKEwjvtpTIo-TdAhUFj1kKHauuBV4Q6AEILDAB#v=onepage&q=auditoria%20administrativa%20franklin&f=false

    Ó. Bejarano, D. Rojas. Priorización de impactos de la quebrada La Salitrosa ubicada en la localidad de Suba, Repositorio Universidad Distrital, 2016, p. 88.

    Hamdy A. Taha. (2004). Modelos probabilísticos de inventario. En Investigación de operaciones (567-577). México: Pearson Educación.

    A. Morteza, S. Abbas, “A humanitarian logistics model for disaster relief operation considering network failure and standard relief time: A case study on San Francisco district”. Transportation Research Part E: Logistics and Transportation Review, vol. 75, pp. 145-163, 2015, doi: https://doi.org/10.1016/j.tre.2015.01.008.

    Departamento Administrativo Nacional de Estadística. [En línea]. Disponible en: https://www.dane.gov.co/index.php/estadisticas-por-tema/demografia-y-poblacion, 2017

    MÉTRICAS
    ARTICLE VIEWS: 619
    PDF VIEWS: 585
    Metrics
    Metrics Loading ...
    https://plu.mx/plum/a/?doi=10.16925/2357-6014.2019.01.02