Authors: Nejib Moalla, Abdelaziz Bouras
Addresses: LIESP Laboratory, University of Lyon, IUT Lumiere Lyon 2, 160, Boulevard de l'universite, 69676, Bron, Cedex, France. ' LIESP Laboratory, University of Lyon, IUT Lumiere Lyon 2, 160, Boulevard de l'universite, 69676, Bron, Cedex, France
Abstract: Data quality is widely considered as a very serious problem for the majority of companies due to the specificities of each business context and the lack of adapted solutions. In this paper, we present the benefits of model-driven engineering (MDE) concepts in ensuring the interconnection of different business contexts specifications by providing a linked structure of models. This enables to generate bridges that connect implementations in different platforms. In this way, the systems interoperability can be satisfied throughout product lifecycle. The MDA approach is widely considered as a methodology for software generation from models, with a focus on enterprise and business models. Deploying a MDA approach in the supply chain context of vaccine industry allows us to deal with product data quality. In fact, it helps to translate some business models at a computer independent model through the MDA framework to generate a newly data model as well as some business rules and recommendations helping to communicate models. A deployment of the proposed approach is presented through some application cases studies.
Keywords: product data compliance; interoperability; model-driven engineering; vaccine industry; data quality; model-driven architectures; MDE; MDA; vaccine product data.
International Journal of Biotechnology, 2010 Vol.11 No.3/4, pp.235 - 250
Published online: 04 Nov 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article