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Communication Dans Un Congrès Année : 2013

Improving production process performance thanks to neuronal analysis

Mélanie Noyel
Patrick Charpentier
  • Fonction : Auteur
  • PersonId : 837188
  • IdRef : 095284850
André Thomas
Bruno Beaupretre
  • Fonction : Auteur
  • PersonId : 933504

Résumé

Product quality level is become a key factor for companies' competitiveness. A lot of time and money are required to ensure and guaranty it. Besides, motivated by the need of traceability, collecting production data is now commonplace in most companies. Our paper aims to show that we can ensure the required quality thanks to an "on-line quality approch" and proposes a neural network based process to determine the optimal setting for production machines. We will illustrate this with the Acta-Mobilier case, which is a high quality lacquerer company.
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Dates et versions

hal-00833669 , version 1 (13-06-2013)

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Mélanie Noyel, Philippe Thomas, Patrick Charpentier, André Thomas, Bruno Beaupretre. Improving production process performance thanks to neuronal analysis. 11th IFAC Workshop on Intelligent Manufacturing System, IMS'2013, May 2013, Sao Paulo, Brazil. pp.CDROM. ⟨hal-00833669⟩
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