dc.contributor.advisor | Garrido, Diogenes Alexander | |
dc.contributor.author | Prada Saavedra, Hernán Dario | |
dc.date.accessioned | 2023-05-24T17:46:27Z | |
dc.date.available | 2023-05-24T17:46:27Z | |
dc.date.issued | 2022-06-24 | |
dc.identifier.uri | http://hdl.handle.net/10654/43864 | |
dc.description.abstract | El tráfico de drogas ilegales es un negocio criminal resiliente que afecta a muchos países a pesar de los grandes esfuerzos por parte de los gobiernos para contenerlo. Dentro de estos esfuerzos, la Armada Nacional emplea las operaciones de interdicción marítima (OIM) como la principal herramienta para combatir la cadena logística del narcotráfico. En la presente investigación se propone un modelo de simulación basada en agentes (ABMS) que permite hallar la “mejor localización y configuración” de los Sistemas de Aeronaves Remotamente Pilotadas (RPAS) empleados en la lucha contra este flagelo. Para este propósito se utilizó el software NetLogo como plataforma para la simulación y Minitab con herramienta estadística para tratar los datos obtenidos en un experimento factorial completo de dos niveles. Los resultados demostraron que, primero, la localización y configuración de los RPAS influyen en la efectividad de las OIM, y segundo, la aplicación de una estrategia de ubicación por centro de gravedad favorece la mejora de los indicadores de afectación a la resiliencia de las rutas del narcotráfico. Finalmente, el modelo propuesto puede usarse como herramienta para tomar decisiones sobre la localización de bases de lanzamiento y selección de RPAS que participen en OIM. | spa |
dc.format.mimetype | applicaction/pdf | spa |
dc.language.iso | spa | spa |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Estudio sobre cómo aumentar la efectividad de las operaciones de interdicción marítima para reducir la resiliencia de la red logística del narcotráfico | spa |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
dc.rights.accessrights | http://purl.org/coar/access_right/c_abf2 | * |
dc.subject.lemb | SIMULACION POR COMPUTADORES | spa |
dc.subject.lemb | VEHICULOS PILOTEADOS DE FORMA REMOTA | spa |
dc.subject.lemb | CONTROL DE DROGAS Y NARCOTICOS | spa |
dc.subject.lemb | PROGRAMAS PARA COMPUTADOR (NETLOGO) | spa |
dc.type.local | Tesis/Trabajo de grado - Monografía - Maestría | spa |
dc.description.abstractenglish | Illegal drug trafficking is a resilient criminal business that affects many countries despite great efforts by governments to contain it. Within these efforts, the National Navy uses maritime interdiction operations (MIO) as the main tool to combat the logistic chain of drug trafficking. In the present investigation, an agent-based simulation model (ABMS) is proposed that allows finding the "best location and configuration" of the Remotely Piloted Aircraft Systems (RPAS) used in the fight against this scourge. For this purpose, the NetLogo software was used as a platform for the simulation and Minitab with a statistical tool to treat the data obtained in a complete two-level factorial experiment. The results showed that, first, the location and configuration of the RPAS influence the effectiveness of the MIO, and second, the application of a location strategy by center of gravity favors the improvement of the indicators affecting the resilience of the routes of drug trafficking. Finally, the proposed model can be used as a tool to make decisions about the location of launch bases and the selection of RPAS that participate in MIO. | spa |
dc.title.translated | Study on how to increase the effectiveness of maritime interdiction operations to reduce the resilience of the drug trafficking logistics network | spa |
dc.subject.keywords | Agent Based Simulation | spa |
dc.subject.keywords | Maritime Interdiction | spa |
dc.subject.keywords | Drug Trafficking Resilience | spa |
dc.subject.keywords | Remotely Piloted Aircraft Systems | spa |
dc.publisher.program | Maestría en Logística Integral | spa |
dc.creator.degreename | Magíster en Logística Integral | spa |
dc.description.degreelevel | Maestría | spa |
dc.publisher.faculty | Facultad de Ingeniería | spa |
dc.type.driver | info:eu-repo/semantics/masterThesis | spa |
dc.rights.creativecommons | Attribution-NonCommercial-NoDerivatives 4.0 International | spa |
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dc.subject.proposal | Simulación Basada en Agentes | spa |
dc.subject.proposal | Interdicción Marítima | spa |
dc.subject.proposal | Resiliencia del Narcotráfico | spa |
dc.subject.proposal | Sistemas de Aeronaves Remotamente Pilotadas | spa |
dc.publisher.grantor | Universidad Militar Nueva Granada | spa |
dc.type.coar | http://purl.org/coar/resource_type/c_bdcc | * |
dc.type.hasversion | info:eu-repo/semantics/acceptedVersion | spa |
dc.identifier.instname | instname:Universidad Militar Nueva Granada | spa |
dc.identifier.reponame | reponame:Repositorio Institucional Universidad Militar Nueva Granada | spa |
dc.identifier.repourl | repourl:https://repository.unimilitar.edu.co | spa |
dc.rights.local | Acceso abierto | spa |
dc.coverage.sede | Calle 100 | spa |