Towards a more efficient use of process and product traceability data for continuous improvement of industrial performances
This work addresses the problem of leveraging mandatory traceability data for continuous improvement in regulated industries, but it appears incremental as it builds on existing data practices without introducing a major breakthrough.
The paper tackles the challenge of efficiently using large amounts of process and product traceability data in industrial sectors like pharmaceuticals and agro-food, proposing methods for product recall and responsiveness to production hazards to improve industrial performance.
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.