• Title BITS 4.0 (Plataforma analítica y predictiva Big Data para la fabricación inteligente y sostenible en entornos de muy alta productividad)
  • Consortium GKN, AGATA, MATRIGALSA
  • Supporting entities AIMEN, Gradiant
  • Funding CONECTA PEME
  • Opening / Ending October 2016 / November 2018

The objective of the project is to develop a big data based application for the management of the production in an intensive manufacturing plant by monitoring the quality of processes and the predictive control of equipment and devices.

Through this tool it will be possible to: predict the deterioration of the equipment and machines, detecting in an early way the appearance of faults and failures; control the quality of 100% of the production through the analysis of the parameters that directly affects the performance of the process, and improve the performance of the manufacturing machines by optimizing the production process conditions and the produced parts with respect to the deterioration of each machine.