Modelo de localización de centros de acopio para la gestión del riesgo hidrometeorológico asociado a movimientos en masa en Antioquia
Natural disasters around the world have increased in last decades, this has generated the need to create contingency plans by governments to reduce the associated risks. These plans include the facility location with the aim to attend emergencies. At the theoretical level, the associated problem is...
- Autores:
-
Hernández Rodríguez, Alejandra
Rivera Daschmann, Paula Cristina
Garzón Sanabria, María Daniela
Ocampo Hernández, Manuela
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2020
- Institución:
- Pontificia Universidad Javeriana
- Repositorio:
- Repositorio Universidad Javeriana
- Idioma:
- spa
- OAI Identifier:
- oai:repository.javeriana.edu.co:10554/53106
- Acceso en línea:
- http://hdl.handle.net/10554/53106
- Palabra clave:
- Localización de instalaciones
Simulación basada en agentes
Sistema de información geográfica
Búsqueda local iterada
Movimientos en masa
Facility location
Agent based modeling
Geographic information systems
Iterated local search
Mass movements
Ingeniería industrial - Tesis y disertaciones académicas
Ingeniería de instalaciones
Hidrometeorología
Sistemas de información geográfica
Desprendimientos de tierra
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional
id |
JAVERIANA2_216b7b06579c66fd6c34f7833f2883f5 |
---|---|
oai_identifier_str |
oai:repository.javeriana.edu.co:10554/53106 |
network_acronym_str |
JAVERIANA2 |
network_name_str |
Repositorio Universidad Javeriana |
repository_id_str |
|
dc.title.spa.fl_str_mv |
Modelo de localización de centros de acopio para la gestión del riesgo hidrometeorológico asociado a movimientos en masa en Antioquia |
title |
Modelo de localización de centros de acopio para la gestión del riesgo hidrometeorológico asociado a movimientos en masa en Antioquia |
spellingShingle |
Modelo de localización de centros de acopio para la gestión del riesgo hidrometeorológico asociado a movimientos en masa en Antioquia Localización de instalaciones Simulación basada en agentes Sistema de información geográfica Búsqueda local iterada Movimientos en masa Facility location Agent based modeling Geographic information systems Iterated local search Mass movements Ingeniería industrial - Tesis y disertaciones académicas Ingeniería de instalaciones Hidrometeorología Sistemas de información geográfica Desprendimientos de tierra |
title_short |
Modelo de localización de centros de acopio para la gestión del riesgo hidrometeorológico asociado a movimientos en masa en Antioquia |
title_full |
Modelo de localización de centros de acopio para la gestión del riesgo hidrometeorológico asociado a movimientos en masa en Antioquia |
title_fullStr |
Modelo de localización de centros de acopio para la gestión del riesgo hidrometeorológico asociado a movimientos en masa en Antioquia |
title_full_unstemmed |
Modelo de localización de centros de acopio para la gestión del riesgo hidrometeorológico asociado a movimientos en masa en Antioquia |
title_sort |
Modelo de localización de centros de acopio para la gestión del riesgo hidrometeorológico asociado a movimientos en masa en Antioquia |
dc.creator.fl_str_mv |
Hernández Rodríguez, Alejandra Rivera Daschmann, Paula Cristina Garzón Sanabria, María Daniela Ocampo Hernández, Manuela |
dc.contributor.advisor.none.fl_str_mv |
Vargas Mesa, John Leonardo |
dc.contributor.author.none.fl_str_mv |
Hernández Rodríguez, Alejandra Rivera Daschmann, Paula Cristina Garzón Sanabria, María Daniela Ocampo Hernández, Manuela |
dc.subject.spa.fl_str_mv |
Localización de instalaciones Simulación basada en agentes Sistema de información geográfica Búsqueda local iterada Movimientos en masa |
topic |
Localización de instalaciones Simulación basada en agentes Sistema de información geográfica Búsqueda local iterada Movimientos en masa Facility location Agent based modeling Geographic information systems Iterated local search Mass movements Ingeniería industrial - Tesis y disertaciones académicas Ingeniería de instalaciones Hidrometeorología Sistemas de información geográfica Desprendimientos de tierra |
dc.subject.keyword.spa.fl_str_mv |
Facility location Agent based modeling Geographic information systems Iterated local search Mass movements |
dc.subject.armarc.spa.fl_str_mv |
Ingeniería industrial - Tesis y disertaciones académicas Ingeniería de instalaciones Hidrometeorología Sistemas de información geográfica Desprendimientos de tierra |
description |
Natural disasters around the world have increased in last decades, this has generated the need to create contingency plans by governments to reduce the associated risks. These plans include the facility location with the aim to attend emergencies. At the theoretical level, the associated problem is known as Facility Location, this has been studied with the use of methodologies like Linear Programming, Metaheuristics, and Agent Based Modeling (ABM) Simulations integrated with Geographical Information Systems (GIS). In Colombia, hydrometeorological disasters, especially mass movements, are the principal cause of most of the deaths due to natural disasters. For this reason, the lack of sectorial plans that mitigates the impact of this kind of disasters is associated with the increase of victims and affected families in Colombia. (DNP y Banco Mundial, 2012). In this project was studied the case of Emergency Facility Location in Antioquia, Colombia. The main objective was to determine the potential locations for Facilities that will distribute humanitarian aid to the affected population by mass movements. For this reason, it was intended to maximize the served population while minimizing the number of assigned facilities. Therefore, for the location of the Facilities, was performed the interaction of a metaheuristics and an Agent Based Model Simulation in the software Netlogo. The goal of the metaheuristics was to determine the potential locations for Facilities with the use of an Iterated Local Search (ILS) methodology. First, his methodology established an initial solution, that guaranteed a wide coverage of the affected population. Secondly, the metaheuristics carried out the Iteration process, in which was analyzed the towns that were attended by each Facilities, this with the aim of maximizing the coverage of the affected population. Then, the Perturbation process was carried out, this process depended of an exploration percentage and of a defined number of disturbances. The Perturbation process had the aim of reallocate the Facilities established in the initial solution, this in order to find another local maximums in the Objective Function. Finally, all the selected solutions by the metaheuristics were evaluated in the simulation model for a medium period of time. The simulation model was based on the information provided by a Geographical Information System (topographic and mass movements maps, provided by Geological Colombian Service). The simulation model 2 recreated the creation of mass movements and evaluated the impact on towns according to the interaction of the agents in each of the scenarios. Then, in order to find the best solution, 27 scenarios were established by the combination of the following parameters: number of Facilities (5, 10 and 15), Exploration Percentage (30%, 50% and 75%), number of Iterations (10, 25 and 50) and Disturbances (3, 5 and 10). Each of these scenarios was executed twice, and through a series of statistical analyzes and tests (ANOVA and LSD) it was possible to determine the best solution in terms of the parameters mentioned above, it is represented on Table 1 and the Figure 1 (the yellow towns are those that were assigned as a Facilities). Once the best solution was determined, it was evaluated on the simulation environment for a period of 30 years. From the results obtained, a descriptive analysis of the data was carried out. It was observed that the with the proposed locations for the Facilities the 70% of the affected population will be attended. The above results indicates that the solution found was good in terms of achieving the objectives proposed in the project, it was not intended to provide full coverage, the idea was to guarantee at least a high percentage of coverage with the least amount of Facilities. Consequently, the social and economic impact of the construction of the Facilities was evaluated. It was established that the cost of the project would be approximately the 15% of the annual national budget for infrastructure that reduce the consequences of natural disasters in the Colombia. In conclusion, with this project was possible to establish a methodology that allocates Facilities for humanitarian aid distribution in a region of Colombia prone to mass movements. This methodology can be used for future works that cover the problem of facility location or it can also be complemented from different types of engineering problems such as the implementation of an inventory model or a routing problem. |
publishDate |
2020 |
dc.date.created.none.fl_str_mv |
2020 |
dc.date.accessioned.none.fl_str_mv |
2021-02-26T02:55:25Z |
dc.date.available.none.fl_str_mv |
2021-02-26T02:55:25Z |
dc.type.local.spa.fl_str_mv |
Tesis/Trabajo de grado - Monografía - Pregrado |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_7a1f |
dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/bachelorThesis |
format |
http://purl.org/coar/resource_type/c_7a1f |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10554/53106 |
dc.identifier.instname.spa.fl_str_mv |
instname:Pontificia Universidad Javeriana |
dc.identifier.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional - Pontificia Universidad Javeriana |
dc.identifier.repourl.spa.fl_str_mv |
repourl:https://repository.javeriana.edu.co |
url |
http://hdl.handle.net/10554/53106 |
identifier_str_mv |
instname:Pontificia Universidad Javeriana reponame:Repositorio Institucional - Pontificia Universidad Javeriana repourl:https://repository.javeriana.edu.co |
dc.language.iso.spa.fl_str_mv |
spa |
language |
spa |
dc.rights.licence.*.fl_str_mv |
Atribución-NoComercial-SinDerivadas 4.0 Internacional |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.rights.accessrights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
Atribución-NoComercial-SinDerivadas 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ http://purl.org/coar/access_right/c_abf2 |
eu_rights_str_mv |
openAccess |
dc.format.spa.fl_str_mv |
PDF |
dc.format.mimetype.spa.fl_str_mv |
application/pdf |
dc.coverage.spatial.spa.fl_str_mv |
Colombia |
dc.coverage.department.spa.fl_str_mv |
Antioquia (Colombia) |
dc.publisher.spa.fl_str_mv |
Pontificia Universidad Javeriana |
dc.publisher.program.spa.fl_str_mv |
Ingeniería Industrial |
dc.publisher.faculty.spa.fl_str_mv |
Facultad de Ingeniería |
institution |
Pontificia Universidad Javeriana |
bitstream.url.fl_str_mv |
http://repository.javeriana.edu.co/bitstream/10554/53106/1/191017-Hernandez-Rivera-Garz%c3%b3n-Ocampo%20-%20Manuela%20Ocampo.pdf http://repository.javeriana.edu.co/bitstream/10554/53106/2/191017%20Lista%20de%20Anexos.pdf http://repository.javeriana.edu.co/bitstream/10554/53106/3/Anexo%202%20-%20Carta%20de%20autorizaci%c3%b3n%20de%20los%20autores%20-%20Manuela%20Ocampo.pdf http://repository.javeriana.edu.co/bitstream/10554/53106/4/license.txt http://repository.javeriana.edu.co/bitstream/10554/53106/5/191017-Hernandez-Rivera-Garz%c3%b3n-Ocampo%20-%20Manuela%20Ocampo.pdf.jpg http://repository.javeriana.edu.co/bitstream/10554/53106/6/191017%20Lista%20de%20Anexos.pdf.jpg http://repository.javeriana.edu.co/bitstream/10554/53106/7/Anexo%202%20-%20Carta%20de%20autorizaci%c3%b3n%20de%20los%20autores%20-%20Manuela%20Ocampo.pdf.jpg |
bitstream.checksum.fl_str_mv |
ade78904c87f42f55418087f9abf6525 5112a7bdc0ed28ab2fe06af316b169ba 05daaadebed40437367eab2f7aaa6f82 2070d280cc89439d983d9eee1b17df53 750fca9ce5e61fa9f1df1fb8136ccd85 85e7ffa78ec6740f7a5d899c3d9ad663 8186cc075bca842ca9643dbf737347d6 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional - Pontificia Universidad Javeriana |
repository.mail.fl_str_mv |
repositorio@javeriana.edu.co |
_version_ |
1808389682131632128 |
spelling |
Atribución-NoComercial-SinDerivadas 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessDe acuerdo con la naturaleza del uso concedido, la presente licencia parcial se otorga a título gratuito por el máximo tiempo legal colombiano, con el propósito de que en dicho lapso mi (nuestra) obra sea explotada en las condiciones aquí estipuladas y para los fines indicados, respetando siempre la titularidad de los derechos patrimoniales y morales correspondientes, de acuerdo con los usos honrados, de manera proporcional y justificada a la finalidad perseguida, sin ánimo de lucro ni de comercialización. De manera complementaria, garantizo (garantizamos) en mi (nuestra) calidad de estudiante (s) y por ende autor (es) exclusivo (s), que la Tesis o Trabajo de Grado en cuestión, es producto de mi (nuestra) plena autoría, de mi (nuestro) esfuerzo personal intelectual, como consecuencia de mi (nuestra) creación original particular y, por tanto, soy (somos) el (los) único (s) titular (es) de la misma. Además, aseguro (aseguramos) que no contiene citas, ni transcripciones de otras obras protegidas, por fuera de los límites autorizados por la ley, según los usos honrados, y en proporción a los fines previstos; ni tampoco contempla declaraciones difamatorias contra terceros; respetando el derecho a la imagen, intimidad, buen nombre y demás derechos constitucionales. Adicionalmente, manifiesto (manifestamos) que no se incluyeron expresiones contrarias al orden público ni a las buenas costumbres. En consecuencia, la responsabilidad directa en la elaboración, presentación, investigación y, en general, contenidos de la Tesis o Trabajo de Grado es de mí (nuestro) competencia exclusiva, eximiendo de toda responsabilidad a la Pontifica Universidad Javeriana por tales aspectos. Sin perjuicio de los usos y atribuciones otorgadas en virtud de este documento, continuaré (continuaremos) conservando los correspondientes derechos patrimoniales sin modificación o restricción alguna, puesto que, de acuerdo con la legislación colombiana aplicable, el presente es un acuerdo jurídico que en ningún caso conlleva la enajenación de los derechos patrimoniales derivados del régimen del Derecho de Autor. De conformidad con lo establecido en el artículo 30 de la Ley 23 de 1982 y el artículo 11 de la Decisión Andina 351 de 1993, "Los derechos morales sobre el trabajo son propiedad de los autores", los cuales son irrenunciables, imprescriptibles, inembargables e inalienables. En consecuencia, la Pontificia Universidad Javeriana está en la obligación de RESPETARLOS Y HACERLOS RESPETAR, para lo cual tomará las medidas correspondientes para garantizar su observancia.http://purl.org/coar/access_right/c_abf2Vargas Mesa, John LeonardoHernández Rodríguez, AlejandraRivera Daschmann, Paula CristinaGarzón Sanabria, María DanielaOcampo Hernández, ManuelaColombiaAntioquia (Colombia)2021-02-26T02:55:25Z2021-02-26T02:55:25Z2020http://hdl.handle.net/10554/53106instname:Pontificia Universidad Javerianareponame:Repositorio Institucional - Pontificia Universidad Javerianarepourl:https://repository.javeriana.edu.coPDFapplication/pdfspaPontificia Universidad JaverianaIngeniería IndustrialFacultad de IngenieríaLocalización de instalacionesSimulación basada en agentesSistema de información geográficaBúsqueda local iteradaMovimientos en masaFacility locationAgent based modelingGeographic information systemsIterated local searchMass movementsIngeniería industrial - Tesis y disertaciones académicasIngeniería de instalacionesHidrometeorologíaSistemas de información geográficaDesprendimientos de tierraModelo de localización de centros de acopio para la gestión del riesgo hidrometeorológico asociado a movimientos en masa en AntioquiaTesis/Trabajo de grado - Monografía - Pregradohttp://purl.org/coar/resource_type/c_7a1finfo:eu-repo/semantics/bachelorThesisNatural disasters around the world have increased in last decades, this has generated the need to create contingency plans by governments to reduce the associated risks. These plans include the facility location with the aim to attend emergencies. At the theoretical level, the associated problem is known as Facility Location, this has been studied with the use of methodologies like Linear Programming, Metaheuristics, and Agent Based Modeling (ABM) Simulations integrated with Geographical Information Systems (GIS). In Colombia, hydrometeorological disasters, especially mass movements, are the principal cause of most of the deaths due to natural disasters. For this reason, the lack of sectorial plans that mitigates the impact of this kind of disasters is associated with the increase of victims and affected families in Colombia. (DNP y Banco Mundial, 2012). In this project was studied the case of Emergency Facility Location in Antioquia, Colombia. The main objective was to determine the potential locations for Facilities that will distribute humanitarian aid to the affected population by mass movements. For this reason, it was intended to maximize the served population while minimizing the number of assigned facilities. Therefore, for the location of the Facilities, was performed the interaction of a metaheuristics and an Agent Based Model Simulation in the software Netlogo. The goal of the metaheuristics was to determine the potential locations for Facilities with the use of an Iterated Local Search (ILS) methodology. First, his methodology established an initial solution, that guaranteed a wide coverage of the affected population. Secondly, the metaheuristics carried out the Iteration process, in which was analyzed the towns that were attended by each Facilities, this with the aim of maximizing the coverage of the affected population. Then, the Perturbation process was carried out, this process depended of an exploration percentage and of a defined number of disturbances. The Perturbation process had the aim of reallocate the Facilities established in the initial solution, this in order to find another local maximums in the Objective Function. Finally, all the selected solutions by the metaheuristics were evaluated in the simulation model for a medium period of time. The simulation model was based on the information provided by a Geographical Information System (topographic and mass movements maps, provided by Geological Colombian Service). The simulation model 2 recreated the creation of mass movements and evaluated the impact on towns according to the interaction of the agents in each of the scenarios. Then, in order to find the best solution, 27 scenarios were established by the combination of the following parameters: number of Facilities (5, 10 and 15), Exploration Percentage (30%, 50% and 75%), number of Iterations (10, 25 and 50) and Disturbances (3, 5 and 10). Each of these scenarios was executed twice, and through a series of statistical analyzes and tests (ANOVA and LSD) it was possible to determine the best solution in terms of the parameters mentioned above, it is represented on Table 1 and the Figure 1 (the yellow towns are those that were assigned as a Facilities). Once the best solution was determined, it was evaluated on the simulation environment for a period of 30 years. From the results obtained, a descriptive analysis of the data was carried out. It was observed that the with the proposed locations for the Facilities the 70% of the affected population will be attended. The above results indicates that the solution found was good in terms of achieving the objectives proposed in the project, it was not intended to provide full coverage, the idea was to guarantee at least a high percentage of coverage with the least amount of Facilities. Consequently, the social and economic impact of the construction of the Facilities was evaluated. It was established that the cost of the project would be approximately the 15% of the annual national budget for infrastructure that reduce the consequences of natural disasters in the Colombia. In conclusion, with this project was possible to establish a methodology that allocates Facilities for humanitarian aid distribution in a region of Colombia prone to mass movements. This methodology can be used for future works that cover the problem of facility location or it can also be complemented from different types of engineering problems such as the implementation of an inventory model or a routing problem.Ingeniero (a) IndustrialPregradoORIGINAL191017-Hernandez-Rivera-Garzón-Ocampo - Manuela Ocampo.pdf191017-Hernandez-Rivera-Garzón-Ocampo - Manuela Ocampo.pdfDocumentoapplication/pdf1008202http://repository.javeriana.edu.co/bitstream/10554/53106/1/191017-Hernandez-Rivera-Garz%c3%b3n-Ocampo%20-%20Manuela%20Ocampo.pdfade78904c87f42f55418087f9abf6525MD51open access191017 Lista de Anexos.pdf191017 Lista de Anexos.pdfAnexosapplication/pdf109000http://repository.javeriana.edu.co/bitstream/10554/53106/2/191017%20Lista%20de%20Anexos.pdf5112a7bdc0ed28ab2fe06af316b169baMD52open accessAnexo 2 - Carta de autorización de los autores - Manuela Ocampo.pdfAnexo 2 - Carta de autorización de los autores - Manuela Ocampo.pdfLicencia de usoapplication/pdf262265http://repository.javeriana.edu.co/bitstream/10554/53106/3/Anexo%202%20-%20Carta%20de%20autorizaci%c3%b3n%20de%20los%20autores%20-%20Manuela%20Ocampo.pdf05daaadebed40437367eab2f7aaa6f82MD53metadata only accessLICENSElicense.txtlicense.txttext/plain; charset=utf-82603http://repository.javeriana.edu.co/bitstream/10554/53106/4/license.txt2070d280cc89439d983d9eee1b17df53MD54open accessTHUMBNAIL191017-Hernandez-Rivera-Garzón-Ocampo - Manuela Ocampo.pdf.jpg191017-Hernandez-Rivera-Garzón-Ocampo - Manuela Ocampo.pdf.jpgIM Thumbnailimage/jpeg8787http://repository.javeriana.edu.co/bitstream/10554/53106/5/191017-Hernandez-Rivera-Garz%c3%b3n-Ocampo%20-%20Manuela%20Ocampo.pdf.jpg750fca9ce5e61fa9f1df1fb8136ccd85MD55open access191017 Lista de Anexos.pdf.jpg191017 Lista de Anexos.pdf.jpgIM Thumbnailimage/jpeg6637http://repository.javeriana.edu.co/bitstream/10554/53106/6/191017%20Lista%20de%20Anexos.pdf.jpg85e7ffa78ec6740f7a5d899c3d9ad663MD56open accessAnexo 2 - Carta de autorización de los autores - Manuela Ocampo.pdf.jpgAnexo 2 - Carta de autorización de los autores - Manuela Ocampo.pdf.jpgIM Thumbnailimage/jpeg8835http://repository.javeriana.edu.co/bitstream/10554/53106/7/Anexo%202%20-%20Carta%20de%20autorizaci%c3%b3n%20de%20los%20autores%20-%20Manuela%20Ocampo.pdf.jpg8186cc075bca842ca9643dbf737347d6MD57open access10554/53106oai:repository.javeriana.edu.co:10554/531062022-05-02 16:59:53.424Repositorio Institucional - Pontificia Universidad Javerianarepositorio@javeriana.edu.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 |