  Nowadays all industrial sectors are increasingly faced with the explosion in
the amount of data. Therefore, it raises the question of the efficient use of
this large amount of data. In this research work, we are concerned with process
and product traceability data. In some sectors (e.g. pharmaceutical and
agro-food), the collection and storage of these data are required. Beyond this
constraint (regulatory and / or contractual), we are interested in the use of
these data for continuous improvements of industrial performances. Two research
axes were identified: product recall and responsiveness towards production
hazards. For the first axis, a procedure for product recall exploiting
traceability data will be propose. The development of detection and prognosis
functions combining process and product data is envisaged for the second axis.
