Predicción de la productividad de empleados en la industria de la confección mediante random forest
Garment employee productivity prediction using random forest
DOI:
https://doi.org/10.56712/latam.v5i6.3083Palabras clave:
interoperatividad, datos analíticos, factor humano productivoResumen
En el ámbito de la manufactura eficiente textil, se destaca la importancia de la interacción entre la elaboración y el empleo del potencial humano. Esta sinergia es esencial para lograr un proceso de producción óptimo predictivo del empleo de las técnicas del cálculo algorítmico comparativo en proporcionar un eficiente tratamiento industrial en producir prendas de vestir. La implementación de datos analíticos es fundamental en esta dinámica, ya que brinda el soporte necesario para una producción eficiente y, al mismo tiempo, genera un incremento en los márgenes de utilidad, La colaboración entre los elementos de creación y fabricación, junto con el uso de datos analíticos, se convierte en los factores de secuencias concatenadas producción. Esta interoperatividad no solo mejora la eficiencia operativa, sino que también aumenta las ganancias. A través de la conexión entre recursos y la aplicación inteligente de datos, se logra una visión única que guía hacia eventos consecutivos esperados de resultados más rentables. Este estudio investiga los vínculos entre la elaboración, la materia prima y el factor humano en la producción. Se examina cómo los datos analíticos respaldan una fabricación más efectiva y se analizan los desafíos que implica esta integración. Además, se explora su impacto en distintos sectores, incluyendo almacenes, corte, confección, limpieza y expedición. Este enfoque novedoso ofrece una visión holística y efectiva para aumentar la rentabilidad en la cadena de suministro y producción.
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