Modelo de simulación para medir el nivel de transformación digital y definir acciones de la estrategia competitiva en la iniciativa clúster metalmecánico del Atlántico
The country has been implementing a series of initiatives aimed at developing Clusters through competitive routes, with the main objective of improving the competitiveness of the regions. As a result of this process of cluster initiatives, the Metalworking sector of the department of Atlántico began...
- Autores:
-
Cómbita Niño, Johana Patricia
- Tipo de recurso:
- Fecha de publicación:
- 2021
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/8291
- Acceso en línea:
- https://hdl.handle.net/11323/8291
https://repositorio.cuc.edu.co/
- Palabra clave:
- Digital transformation
System dynamics
Industry 4.0
Cluster
Simulation model
Transformación digital
Dinámica de sistemas
Industria 4.0
Clúster
Modelo de simulación
- Rights
- openAccess
- License
- Attribution-NonCommercial-ShareAlike 4.0 International
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RCUC2 |
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| dc.title.spa.fl_str_mv |
Modelo de simulación para medir el nivel de transformación digital y definir acciones de la estrategia competitiva en la iniciativa clúster metalmecánico del Atlántico |
| title |
Modelo de simulación para medir el nivel de transformación digital y definir acciones de la estrategia competitiva en la iniciativa clúster metalmecánico del Atlántico |
| spellingShingle |
Modelo de simulación para medir el nivel de transformación digital y definir acciones de la estrategia competitiva en la iniciativa clúster metalmecánico del Atlántico Digital transformation System dynamics Industry 4.0 Cluster Simulation model Transformación digital Dinámica de sistemas Industria 4.0 Clúster Modelo de simulación |
| title_short |
Modelo de simulación para medir el nivel de transformación digital y definir acciones de la estrategia competitiva en la iniciativa clúster metalmecánico del Atlántico |
| title_full |
Modelo de simulación para medir el nivel de transformación digital y definir acciones de la estrategia competitiva en la iniciativa clúster metalmecánico del Atlántico |
| title_fullStr |
Modelo de simulación para medir el nivel de transformación digital y definir acciones de la estrategia competitiva en la iniciativa clúster metalmecánico del Atlántico |
| title_full_unstemmed |
Modelo de simulación para medir el nivel de transformación digital y definir acciones de la estrategia competitiva en la iniciativa clúster metalmecánico del Atlántico |
| title_sort |
Modelo de simulación para medir el nivel de transformación digital y definir acciones de la estrategia competitiva en la iniciativa clúster metalmecánico del Atlántico |
| dc.creator.fl_str_mv |
Cómbita Niño, Johana Patricia |
| dc.contributor.advisor.spa.fl_str_mv |
Martínez Marín, Sindy Johana Puello Pereira, Nataly Del Rosario |
| dc.contributor.author.spa.fl_str_mv |
Cómbita Niño, Johana Patricia |
| dc.subject.eng.fl_str_mv |
Digital transformation System dynamics Industry 4.0 Cluster Simulation model |
| topic |
Digital transformation System dynamics Industry 4.0 Cluster Simulation model Transformación digital Dinámica de sistemas Industria 4.0 Clúster Modelo de simulación |
| dc.subject.spa.fl_str_mv |
Transformación digital Dinámica de sistemas Industria 4.0 Clúster Modelo de simulación |
| description |
The country has been implementing a series of initiatives aimed at developing Clusters through competitive routes, with the main objective of improving the competitiveness of the regions. As a result of this process of cluster initiatives, the Metalworking sector of the department of Atlántico began the competitive strategy "Industry 4.0" in 2017, becoming the horizon of work and development of activities to strengthen the cluster. However, for the cluster initiative it has not been an easy process to define and prioritize actions or a clear route to follow; This is due to the novelty of the subject and the lack of information on how to work and intervene in the digital transformation. For this reason, the objective of the research project is to design a simulation model with system dynamics that allows the causal and systematic study of Digital Transformation in this sector, to prioritize factors and define actions that respond to the current need of the cluster initiative and contribute to the Industry 4.0 competitive strategy. The study worked under a 3-phase methodology: 1. Diagnosis, 2. Modeling, 3. Proposal for an action plan. The first phase was based on the characterization of the system and diagnosis of the current state, for which it was necessary to apply additional techniques such as Analytic Hierarchy Process (AHP) and Decision-Making Trial and Evaluation Laboratory (DEMATEL), and a diagnostic instrument of the Transformation level. Digital de Colombia Productiva for data collection in the initiative. The second phase consisted of developing the dynamic hypothesis, the causal diagram of the system and the simulation model, based on the characterization results of the first phase. In the third phase, the results were analyzed and actions were defined for the cluster initiative, for which it was necessary to hold meetings with businessmen who are experts on the subject. Finally, the results show the importance of working on the three key factors of Digital Transformation, prioritizing Digitalization Management, Digital Implementation, and finally Strategic Alignment, this being important for the long-term sustainability of the strategy. |
| publishDate |
2021 |
| dc.date.accessioned.none.fl_str_mv |
2021-05-27T18:39:07Z |
| dc.date.available.none.fl_str_mv |
2021-05-27T18:39:07Z |
| dc.date.issued.none.fl_str_mv |
2021 |
| dc.type.spa.fl_str_mv |
Trabajo de grado - Maestría |
| dc.type.content.spa.fl_str_mv |
Text |
| dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/masterThesis |
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http://purl.org/redcol/resource_type/TM |
| dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
| status_str |
acceptedVersion |
| dc.identifier.citation.spa.fl_str_mv |
Cómbita, J. (2021) Modelo de simulación para medir el nivel de transformación digital y definir acciones de la estrategia competitiva en la iniciativa clúster metalmecánico del Atlántico. Trabajo de maestría. Recuperado de https://hdl.handle.net/11323/8291 |
| dc.identifier.uri.spa.fl_str_mv |
https://hdl.handle.net/11323/8291 |
| dc.identifier.instname.spa.fl_str_mv |
Corporación Universidad de la Costa |
| dc.identifier.reponame.spa.fl_str_mv |
REDICUC - Repositorio CUC |
| dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.cuc.edu.co/ |
| identifier_str_mv |
Cómbita, J. (2021) Modelo de simulación para medir el nivel de transformación digital y definir acciones de la estrategia competitiva en la iniciativa clúster metalmecánico del Atlántico. Trabajo de maestría. Recuperado de https://hdl.handle.net/11323/8291 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
| url |
https://hdl.handle.net/11323/8291 https://repositorio.cuc.edu.co/ |
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spa |
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spa |
| dc.relation.references.spa.fl_str_mv |
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Martínez Marín, Sindy Johana9928118e217a294a6e96d2f3558baed0-1Puello Pereira, Nataly Del Rosario6fcd62f114215613f8c9e87416795328-1Cómbita Niño, Johana Patriciabfac8af3bae576a6a964dd8e2e003f5b2021-05-27T18:39:07Z2021-05-27T18:39:07Z2021Cómbita, J. (2021) Modelo de simulación para medir el nivel de transformación digital y definir acciones de la estrategia competitiva en la iniciativa clúster metalmecánico del Atlántico. Trabajo de maestría. Recuperado de https://hdl.handle.net/11323/8291https://hdl.handle.net/11323/8291Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The country has been implementing a series of initiatives aimed at developing Clusters through competitive routes, with the main objective of improving the competitiveness of the regions. As a result of this process of cluster initiatives, the Metalworking sector of the department of Atlántico began the competitive strategy "Industry 4.0" in 2017, becoming the horizon of work and development of activities to strengthen the cluster. However, for the cluster initiative it has not been an easy process to define and prioritize actions or a clear route to follow; This is due to the novelty of the subject and the lack of information on how to work and intervene in the digital transformation. For this reason, the objective of the research project is to design a simulation model with system dynamics that allows the causal and systematic study of Digital Transformation in this sector, to prioritize factors and define actions that respond to the current need of the cluster initiative and contribute to the Industry 4.0 competitive strategy. The study worked under a 3-phase methodology: 1. Diagnosis, 2. Modeling, 3. Proposal for an action plan. The first phase was based on the characterization of the system and diagnosis of the current state, for which it was necessary to apply additional techniques such as Analytic Hierarchy Process (AHP) and Decision-Making Trial and Evaluation Laboratory (DEMATEL), and a diagnostic instrument of the Transformation level. Digital de Colombia Productiva for data collection in the initiative. The second phase consisted of developing the dynamic hypothesis, the causal diagram of the system and the simulation model, based on the characterization results of the first phase. In the third phase, the results were analyzed and actions were defined for the cluster initiative, for which it was necessary to hold meetings with businessmen who are experts on the subject. Finally, the results show the importance of working on the three key factors of Digital Transformation, prioritizing Digitalization Management, Digital Implementation, and finally Strategic Alignment, this being important for the long-term sustainability of the strategy.El país ha venido implementando una serie de iniciativas encaminadas al desarrollo de los Clúster a través de las rutas competitivas, con el principal objetivo de mejorar la competitividad de las regiones. Resultado de este proceso de Iniciativas Clúster, el sector Metalmecánico del departamento del Atlántico dió inicio para el 2017 la estrategia competitiva “Industria 4.0”, convirtiéndose en el horizonte de trabajo y desarrollo de actividades para fortalecer el Clúster. Sin embargo, para la Iniciativa Clúster no ha sido un proceso facil definir y priorizar acciones o una ruta clara a seguir; esto se debe a la novedad del tema y a la carencia de información de cómo trabajar e intervenir la transformación digital. Por tal razón, el objetivo de este trabajo de investigación consiste en diseñar un modelo de simulación con dinámica de sistemas que permita el estudio causal y sistémico de la Transformación Digital en este sector, para priorizar factores y definir acciones que respondan a la necesidad actual de la Iniciativa Clúster y contribuyan a la estrategia competitiva Industria 4.0. La metodología para el desarrollo de esta investigación constó de tres fases: 1. Diagnóstico, 2. Modelación, 3. Propuesta de plan de acción. La primera fase se basó en la caracterización del sistema y diagnóstico del estado actual, para lo cual fue necesario aplicar técnicas adicionales como Analytic Hierarchy Process (AHP) y Decision Making Trial and Evaluation Laboratory (DEMATEL), y un instrumento diagnóstico del nivel de Transformación Digital de Colombia Productiva para la toma de datos en la iniciativa. La Segunda fase consistió en desarrollar la hipótesis dinámica, diagrama causal del sistema y el modelo de simulación, partiendo de los resultados de caracterización de la primera fase. En la tercera fase, se analizaron los resultados y se definieron acciones para la Iniciativa Clúster, por lo cual fue necesario realizar reuniones con empresarios expertos en el tema. Finalmente, los resultados muestran la importancia de trabajar en los tres factores claves de la Transformación digital, priorizando la Gestión de la digitalización, Implementación digital, y por último la Alineación estratégica, siendo este importante para el sustento a largo plazo de la estrategia.application/pdfspaCorporación Universidad de la CostaMaestría en IngenieríaAttribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Digital transformationSystem dynamicsIndustry 4.0ClusterSimulation modelTransformación digitalDinámica de sistemasIndustria 4.0ClústerModelo de simulaciónModelo de simulación para medir el nivel de transformación digital y definir acciones de la estrategia competitiva en la iniciativa clúster metalmecánico del AtlánticoTrabajo de grado - MaestríaTextinfo:eu-repo/semantics/masterThesishttp://purl.org/redcol/resource_type/TMinfo:eu-repo/semantics/acceptedVersionAbramovici, M., & Stark, R. 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Formal aspects of model validity and validation in system dynamics. System Dynamics Review, 12(3), 183–210. https://doi.org/10.1007/BF01305369Basco, A. I., Beliz, G., Coatz, D., & Garnero, P. (2018). Industria 4.0: Fabricando el futuro.Batz, A., Kunath, M., & Winkler, H. (2018). DISCREPANCIES BETWEEN CLUSTER SERVICES AND SMES’ NEEDS CONSTRAINING THE CREATION OF A CULTURE OF INNOVATION AMIDST INDUSTRY 4.0. Scientific Journal of Logistics, 14(3), 387– 405.Bazsová, B. (2017). Evaluation of efficiency in insurance industry with use of balanced scorecard frame. SMSIS 2017 - Proceedings of the 12th International Conference on Strategic Management and Its Support by Information Systems 2017, 184–192. https://www.scopus.com/inward/record.uri?eid=2-s2.0- 85026292667&partnerID=40&md5=d68b7944359bfec7ecc28ba1147e42c5Bedoya Olarte, T. (2019). Transformación digital y la industria 4.0. http://hdl.handle.net/10902/17458Belussi, F. (2015). 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