Parameter Interdependencies in Knowledge Graphs for Manufacturing Processes
Tom Jeleniewski, Jonathan Reif, Felix Gehlhoff, Alexander Fay · 2024
Nowadays, companies face a variety of changes and challenges that often require adjustments and reconfiguration of manufacturing systems and processes. One topic of great importance in this regard are the interdependencies among process parameters. By modeling these interdependencies and making them accessible to experts and decision makers, these stakeholders can be supported in gaining a deeper understanding of production processes. This article presents a comprehensive overview of the oppor-tunities offered by a semantic model of parameter interdepen-dencies. Based on industrial standards, the semantic framework proposed aims to bridge the gap in current ontological models by providing a formal description of parameters, their interde-pendencies, and their effects on manufacturing processes. By leveraging the capabilities of Semantic Web technologies, this contribution describes the composition and decomposition of interdependency knowledge, its integration in process descriptions, and an interdependency data consistency check.