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...
- 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
| Summary: | 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. |
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