Towards Model Consistency Representations in a Multi-Disciplinary Engineering Network

Production Systems Engineering (PSE) networks create engineering results represented by interdependent engineering data models. A key aspect of engineering result quality is the consistency achieved in and among the discipline-specific data models. However, the heterogeneity of discipline-specific data models makes it hard to represent and evaluate consistency across engineering disciplines. In this paper, we introduce PSE-MECon - a method for Modelling and Evaluating Consistency rules in PSE environments across disciplines. We describe a meta-model for representing consistency rules in a multi-disciplinary data model and demonstrate the viability of the meta-model by representing dependencies in AutomationML as a foundation for consistency checks for engineering data logistics in multi-disciplinary engineering networks.