One approach of data-mining for Product Driven Systems

Philippe Thomas (1) , André Thomas (1)

1 CRAN - Centre de Recherche en Automatique de Nancy

The first objective of this paper is to highlight some new Product Driven Systems (PDS) issues. Effectively, several possibilities have been proposed to give to products or objects capacities to react to environment modifications (especially in manufacturing and logistics context here). In particular, bio-inspired approaches are now promising. All these new perspectives lead putting products in action according to collected information. That's why all technics leading to exploit and organize data are necessary. The main objective of the paper is addressed in a second part, where we highlight why learning machines could be seen as a new way to do that.

Mots clés: Product Driven Systems; Viable systems; Learning machines; Neural network; Data mining

Domaines: Autre

Philippe Thomas, André Thomas. One approach of data-mining for Product Driven Systems. 14th IFAC Symposium on Information Control Problems in Manufacturing, INCOM 2012, May 2012, Bucarest, Romania. pp.CDROM. ⟨hal-00760257⟩