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Implantation of an on-line quality process monitoring

Abstract : 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
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Contributor : Philippe Thomas <>
Submitted on : Monday, November 4, 2013 - 9:58:13 AM
Last modification on : Thursday, January 11, 2018 - 6:24:14 AM
Long-term archiving on: : Friday, April 7, 2017 - 8:12:51 PM


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  • HAL Id : hal-00879491, version 1



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⟩



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