Big Data Analysis Proposal for Manufacturing Firm
| Audiencia | Público en general | es_ES |
| Cobertura | México | es_ES |
| Fecha de ingreso | 2026-09-15T00:32:24Z | |
| Fecha de publicación | 2021-02-15 | |
| Resumen | The analysis of large volumes of data is an important activity in manufacturing companies, since they allow improving the decision-making process. The data analysis has generated that the services and products are personalized, and how the consumption of the products has evolved, obtaining results that add value to the companies in real time. In this case study, developed in a large manufacturing company of electronic components as robots and AC motors; a strategy has been proposed to analyze large volumes of data and be able to analyze them to support the decision-making process; among the proposed activities of the strategy are: Analysis of the technological architecture, selection of the business processes to be analyzed, installation and configuration of Hadoop software, ETL activities, and data analysis and visualization of the results. With the proposed strategy, the data of nine production factors of the motor PCI boards were analyzed, which had a greater incidence in the rejection of the components; a solution was made based on the analysis, which has allowed a decrease of 28.2% in the percentage of rejection. | es_ES |
| Doi | https://doi.org/10.24018/ejece.2021.5.1.298 | es_ES |
| URI | https://riuat.uat.edu.mx/handle/123456789/3863 | |
| Idioma | en | es_ES |
| Relación | European Journal of Electrical Engineering and Computer Science | es_ES |
| URL relacionado | https://doi.org/10.24018/ejece.2021.5.1.298 | es_ES |
| Derechos | Acceso abierto (Metadatos de producción científica) | es_ES |
| Licencia | http://purl.org/coar/access_right/c_abf2 | es_ES |
| Fuente | European Journal of Electrical Engineering and Computer Science | |
| Palabra clave | Process (computing) | es_ES |
| Palabra clave | Visualization | es_ES |
| Palabra clave | Computer science | es_ES |
| Palabra clave | Big data | es_ES |
| Palabra clave | Software | es_ES |
| Palabra clave | Manufacturing engineering | es_ES |
| Palabra clave | Production (economics) | es_ES |
| Palabra clave | Data analysis | es_ES |
| Palabra clave | Data mining | es_ES |
| Palabra clave | Engineering | es_ES |
| Clasificación | The Impact of Diversity and Innovation on Society | es_ES |
| Título | Big Data Analysis Proposal for Manufacturing Firm | es_ES |
| Tipo | Artículo | es_ES |
| Arbitrado | Ha sido Arbitrado | es_ES |
| Autor | Valdez, Alicia | |
| Autor | Cortés, Griselda | |
| Autor | Vázquez, Laura | |
| Autor | Martinez, Adriana | |
| Autor | Atondo, Gerardo Haces | |
| Autor | Valdez, Alicia | es_ES |
| Autor | Cortés, Griselda | es_ES |
| Autor | Vázquez, Laura | es_ES |
| Autor | Martinez, Adriana | es_ES |
| Autor | Atondo, Gerardo Haces | es_ES |
| Institución | Universidad Autónoma de Tamaulipas | |
| Institución | Universidad Autónoma de Tamaulipas | es_ES |
| Número | 1 | es_ES |
| Rango de páginas | 68-75 | es_ES |
| URL relacionada | https://doi.org/10.24018/ejece.2021.5.1.298 | |
| Tipo de artículo | Indexado | |
| Tipo de artículo | Indexado | es_ES |
| Volumen | 5 | es_ES |
