Implantation of an on-line quality process monitoring

Mélanie Noyel (1) , Philippe Thomas (1) , Patrick Charpentier (1) , André Thomas (1) , Thomas Brault (2)

1 CRAN - Centre de Recherche en Automatique de Nancy
2 ACTA mobilier

Because product quality level is today a key factor for companies' competitiveness and because it is really hard to control the manufacturing systems, there is a lot of scientific methods implemented on the shop-floor to improve quality at workstations. In our previous works, we have shown that the on-line quality control assisted by Neural Network seems to be a good alternative to the well-known industrial methods such as Taguchi Method. Nevertheless we have highlighted that a drift appears between the model and the process reality. In this paper, we propose a way to resynchronize the on-line control system behavior with it. This approach allows us to assure that the model stay robust and adaptable for the quality prediction. We will illustrate this with the Acta-Mobilier case, which is a high quality lacquerer company in the furniture industry

Mots clés: Multivariate quality control; product quality; neural networks; Optimal Experimental Design; on-line control

Domaines: Réseau de neurones [cs.NE]

Mélanie Noyel, Philippe Thomas, Patrick Charpentier, André Thomas, Thomas Brault. Implantation of an on-line quality process monitoring. International Conference on Industrial Engineering and Systems Management, IESM'13, Oct 2013, Rabat, Morocco. pp.CDROM. ⟨hal-00879491⟩