Análisis de procesos usando redes complejas
Process analysis has taken a great importance in the business field. The tools that facilitate the understanding of the business processes of an organization are increasingly important. This work aims to establish a methodology for the analysis of business processes using network theory. It begins b...
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| Formato: | bachelorThesis |
| Lenguaje: | spa |
| Publicado: |
2020
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| Materias: | |
| Acceso en línea: | http://dspace.udla.edu.ec/handle/33000/12623 |
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Agregar Etiqueta | Sumario: | Process analysis has taken a great importance in the business field. The tools that facilitate the understanding of the business processes of an organization are increasingly important. This work aims to establish a methodology for the analysis of business processes using network theory. It begins by posing a convention that eases the transition from Business Process Modeling Notation to complex networks. Next, a Python script extracts the flow and connection objects information, this script also stores this information in different formats for easy reuse of the data in different tools. Then, with scripts in both Python and R, the networks and its visualizations are created. With the information of nodes and links from each network, a Shiny application is developed, this app oversees the analysis. This application allows obtaining microscopic measurements for each of the nodes, this information gives us a clear idea of the structural and functional importance of the elements of the network. To conclude, the analysis of the network is deepened from a macroscopic perspective to determine the communities and their robustness. Different community detection algorithms were used, and the results were compared to find the algorithm that yields better results. Likewise, the network vulnerability is contrasted against the different error and attack factors to determine deficiencies or improvements within the processes. |
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