Model-Driven Interoperability to enhance ProductData Quality

Workshop on Hydrogen Production from Fossil Fuels with Carbon Sequestration

Néjib Moalla ; Yacine Ouzrout ; Gilles Neubert ; Abdelaziz Bouras

Others  :  http://CEUR-WS.org/Vol-340/paper10.pdf
PID  :  2785

来源: CEUR

【 摘 要 】

Data quality presents a major issue to reduce product cost and improve time-to-market for the vaccine industry. In fact, the moleculardefinition of vaccine product must be well formalized in the supply chainperimeter to be always compliant with the regulatory approved definition of theproduct.To ensure product data quality, we study in this paper the concepts of model- driven interoperability and we highlight their capabilities to connect somemodels related to heterogeneous information systems. Therefore, to deal withproduct complexity and the diversity of its definitions inside the supply chain perimeter, we propose in this work a five steps approach based on MDIconcepts. The proposed architecture deals with some specific product data identified as critical in our context and allows ensuring their quality in the Enterprise Resource Planning (ERP), as the main production information system in the vaccine industry. When deployed, our work provides someinteresting results at Sanofi Pasteur France company.