Innovation in AEC colombian industry : characterization by the Analytic Hierarchy Process (AHP) with fuzzy logic and Monte Carlo Simulation

The purpose of this research is determine the principal characteristics of the innovation in the Colombia industry with interviews of the important firms that nowadays implement innovation process and are in the initiative "Comacol Innova 2020". The characterization is carried out by data...

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Autores:
Gutiérrez Bucheli, Laura Andrea
Tipo de recurso:
Fecha de publicación:
2015
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/13331
Acceso en línea:
http://hdl.handle.net/1992/13331
Palabra clave:
Industria de la construcción - Innovaciones tecnológicas - Investigaciones - Colombia
Toma de decisiones multicriterio - Investigaciones - Método de Montecarlo
Sistemas difusos - Aplicaciones industriales - Investigaciones
Ingeniería
Rights
openAccess
License
https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdf
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network_name_str Séneca: repositorio Uniandes
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spelling Al consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Pellicer Armiñana, Eugeniod49f2331-f7f0-4e9a-aa44-631533cf9d4e500Ponz Tienda, José Luisvirtual::1264-1Gutiérrez Bucheli, Laura Andrea8618500Ospina Alvarado, Angélica María2018-09-28T10:33:47Z2018-09-28T10:33:47Z2015http://hdl.handle.net/1992/13331u722044.pdfinstname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/The purpose of this research is determine the principal characteristics of the innovation in the Colombia industry with interviews of the important firms that nowadays implement innovation process and are in the initiative "Comacol Innova 2020". The characterization is carried out by data analysis using Analytic Hierarchy Process (AHP) to determine the importance of the factors that most affect innovation. The Analytic Hierarchy Process is a method of Multi-criteria Decision Making (MCDM), which structure a problem from judgments based on knowledge, reason or feelings of the decision makers to derive a set of priorities for activities. lt has been believed that the AHP is appropriate to assist decision-making problems characterized by a number of interrelated factor. Recently, a derivative of the AHP, the so-called fuzzy AHP, has been developed by mixing AHP with a fuzzy set theory that have been extended its application areas in construction management. However, the derivate of the AHP with Monte Carlo Simulation has not been used in industry. This research aims to compare the two leads to have more accurate data and confident; besides involving the Monte Carlo simulation as an alternative to the analysis of data that has been successful in other context.Magíster en Ingeniería CivilMaestría52 hojasapplication/pdfengUniandesMaestría en Ingeniería CivilFacultad de IngenieríaDepartamento de Ingeniería Civil y Ambientalinstname:Universidad de los Andesreponame:Repositorio Institucional SénecaInnovation in AEC colombian industry : characterization by the Analytic Hierarchy Process (AHP) with fuzzy logic and Monte Carlo SimulationTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesishttp://purl.org/coar/version/c_970fb48d4fbd8a85Texthttp://purl.org/redcol/resource_type/TMIndustria de la construcción - Innovaciones tecnológicas - Investigaciones - ColombiaToma de decisiones multicriterio - Investigaciones - Método de MontecarloSistemas difusos - Aplicaciones industriales - InvestigacionesIngenieríaPublication40f23a0b-33d5-4966-a853-7311b9a0b995virtual::1264-140f23a0b-33d5-4966-a853-7311b9a0b995virtual::1264-1TEXTu722044.pdf.txtu722044.pdf.txtExtracted texttext/plain83845https://repositorio.uniandes.edu.co/bitstreams/f87fb63b-5db3-4920-b6f1-10d983ebaf1b/downloadc3d67459e704e68db28a28398efe108fMD54THUMBNAILu722044.pdf.jpgu722044.pdf.jpgIM Thumbnailimage/jpeg10371https://repositorio.uniandes.edu.co/bitstreams/97ab78ce-14db-4e07-86c3-f6d90cc15228/download8b70d030e825bd1846945af0dc54e14cMD55ORIGINALu722044.pdfapplication/pdf1488766https://repositorio.uniandes.edu.co/bitstreams/3307c9e6-98b3-4546-9814-ab562822b75a/download2f57c031778b4db3475a3fd068497f7aMD511992/13331oai:repositorio.uniandes.edu.co:1992/133312024-03-13 11:55:19.737https://repositorio.uniandes.edu.co/static/pdf/aceptacion_uso_es.pdfopen.accesshttps://repositorio.uniandes.edu.coRepositorio institucional Sénecaadminrepositorio@uniandes.edu.co
dc.title.es_CO.fl_str_mv Innovation in AEC colombian industry : characterization by the Analytic Hierarchy Process (AHP) with fuzzy logic and Monte Carlo Simulation
title Innovation in AEC colombian industry : characterization by the Analytic Hierarchy Process (AHP) with fuzzy logic and Monte Carlo Simulation
spellingShingle Innovation in AEC colombian industry : characterization by the Analytic Hierarchy Process (AHP) with fuzzy logic and Monte Carlo Simulation
Industria de la construcción - Innovaciones tecnológicas - Investigaciones - Colombia
Toma de decisiones multicriterio - Investigaciones - Método de Montecarlo
Sistemas difusos - Aplicaciones industriales - Investigaciones
Ingeniería
title_short Innovation in AEC colombian industry : characterization by the Analytic Hierarchy Process (AHP) with fuzzy logic and Monte Carlo Simulation
title_full Innovation in AEC colombian industry : characterization by the Analytic Hierarchy Process (AHP) with fuzzy logic and Monte Carlo Simulation
title_fullStr Innovation in AEC colombian industry : characterization by the Analytic Hierarchy Process (AHP) with fuzzy logic and Monte Carlo Simulation
title_full_unstemmed Innovation in AEC colombian industry : characterization by the Analytic Hierarchy Process (AHP) with fuzzy logic and Monte Carlo Simulation
title_sort Innovation in AEC colombian industry : characterization by the Analytic Hierarchy Process (AHP) with fuzzy logic and Monte Carlo Simulation
dc.creator.fl_str_mv Gutiérrez Bucheli, Laura Andrea
dc.contributor.advisor.none.fl_str_mv Pellicer Armiñana, Eugenio
Ponz Tienda, José Luis
dc.contributor.author.none.fl_str_mv Gutiérrez Bucheli, Laura Andrea
dc.contributor.jury.none.fl_str_mv Ospina Alvarado, Angélica María
dc.subject.keyword.es_CO.fl_str_mv Industria de la construcción - Innovaciones tecnológicas - Investigaciones - Colombia
Toma de decisiones multicriterio - Investigaciones - Método de Montecarlo
Sistemas difusos - Aplicaciones industriales - Investigaciones
topic Industria de la construcción - Innovaciones tecnológicas - Investigaciones - Colombia
Toma de decisiones multicriterio - Investigaciones - Método de Montecarlo
Sistemas difusos - Aplicaciones industriales - Investigaciones
Ingeniería
dc.subject.themes.none.fl_str_mv Ingeniería
description The purpose of this research is determine the principal characteristics of the innovation in the Colombia industry with interviews of the important firms that nowadays implement innovation process and are in the initiative "Comacol Innova 2020". The characterization is carried out by data analysis using Analytic Hierarchy Process (AHP) to determine the importance of the factors that most affect innovation. The Analytic Hierarchy Process is a method of Multi-criteria Decision Making (MCDM), which structure a problem from judgments based on knowledge, reason or feelings of the decision makers to derive a set of priorities for activities. lt has been believed that the AHP is appropriate to assist decision-making problems characterized by a number of interrelated factor. Recently, a derivative of the AHP, the so-called fuzzy AHP, has been developed by mixing AHP with a fuzzy set theory that have been extended its application areas in construction management. However, the derivate of the AHP with Monte Carlo Simulation has not been used in industry. This research aims to compare the two leads to have more accurate data and confident; besides involving the Monte Carlo simulation as an alternative to the analysis of data that has been successful in other context.
publishDate 2015
dc.date.issued.none.fl_str_mv 2015
dc.date.accessioned.none.fl_str_mv 2018-09-28T10:33:47Z
dc.date.available.none.fl_str_mv 2018-09-28T10:33:47Z
dc.type.spa.fl_str_mv Trabajo de grado - Maestría
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dc.identifier.pdf.none.fl_str_mv u722044.pdf
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dc.identifier.reponame.spa.fl_str_mv reponame:Repositorio Institucional Séneca
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identifier_str_mv u722044.pdf
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dc.format.extent.es_CO.fl_str_mv 52 hojas
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dc.publisher.es_CO.fl_str_mv Uniandes
dc.publisher.program.es_CO.fl_str_mv Maestría en Ingeniería Civil
dc.publisher.faculty.es_CO.fl_str_mv Facultad de Ingeniería
dc.publisher.department.es_CO.fl_str_mv Departamento de Ingeniería Civil y Ambiental
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