Use of Modelling as an Enabler for Cross-Topic Knowledge Management and Ontologies to Support Return of Experience and Replicability of Large Nuclear Projects

Abstract

Nuclear projects often produce and consume a large amount of knowledge. Capitalization on this knowledge constitutes a significant way to increase efficiency on subsequent projects for any stakeholder. In this study, modelling is used as a main approach to support this capitalization. It constitutes, through graphical layout, a more reliable and robust way to transfer information. Moreover, the use of an interconnected set of models enables organizations to break the silos between the disciplines. The approach proposed is based on the declination of existing "on-the-shelf" elements to benefit from previous implementations. The presented example illustrates how, on a nuclear project, engineering processes have been modelled from knowledge of previous projects. These implementations are all interconnected to constitute a self-supporting set of models as a body of knowledge. This approach has enabled significant time and costs savings during project preparatory and initial phases.