Desarrollo de un modelo matemático de logística humanitaria con resiliencia para la gestión del riesgo en sismos y terremotos en Cáqueza, Cundinamarca
Datos del contenido
Desarrollo de un modelo matemático de logística humanitaria con resiliencia para la gestión del riesgo en sismos y terremotos en Cáqueza, Cundinamarca
Tipo de contenido
Artículos Científicos
Fecha
2019-01
Resumen
Introduction: the article is the product of the research “Development of a mathematical model of humanitarian logistics with resilience for risk management in earthquakes and earthquakes in Cádiz, Cundinamarca”, developed 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 earthquakes 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 determining 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.
Editorial
Universidad Libre, Facultad de Ingeniería, Bogotá, Colombia
Materia
Colecciones
- Revista UCC [114]
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