Bibliographic citations
Salazar, E., Ramon, E. (2022). Sistema de planificación automatizada de órdenes de trabajo de una empresa de producción de plásticos utilizando redes neuronales [Tesis, Universidad Peruana de Ciencias Aplicadas (UPC)]. http://hdl.handle.net/10757/667602
Salazar, E., Ramon, E. Sistema de planificación automatizada de órdenes de trabajo de una empresa de producción de plásticos utilizando redes neuronales [Tesis]. PE: Universidad Peruana de Ciencias Aplicadas (UPC); 2022. http://hdl.handle.net/10757/667602
@misc{renati/404716,
title = "Sistema de planificación automatizada de órdenes de trabajo de una empresa de producción de plásticos utilizando redes neuronales",
author = "Ramon Blanco, Eva Cristina",
publisher = "Universidad Peruana de Ciencias Aplicadas (UPC)",
year = "2022"
}
Currently, the sector of industrial companies is in constant technological and innovation growth. For this reason, this project proposes a web system oriented to the automated planning of work orders based on learning automation using neural networks for a plastics production company. This proposal arose by reducing the number of work orders rescheduled and digitizing manual processes within the organization. For this reason, the activities to be automated are carefully detailed, focusing the analysis on detecting the critical points or "bottlenecks" of the organization within the Production Management process. The proposed solution makes use of the Angular web development Framework, NodeJS, and the TensorFlow machine learning library, which will have input data such as operator, machinery, and raw material availability.
This item is licensed under a Creative Commons License