The Munich PLM Symposium is one of the leading events of its kind in southern Germany. In cooperation between research, teaching and industrial companies, it aims to promote PLM-specific topics with regard to digitalization and artificial intelligence. As a platform for linking future Systems Engineering activities in Munich and Bavaria, this year's focus is on the development of sustainable PLM through digital technologies.
Therefore, our contribution this year specifically deals with the question of how Digital Twins can give a boost to sustainability and traceability in the manufacturing and process industry. After all, the information needed for this, such as processed materials, past malfunctions, or recipes used, already exists in a wide variety of systems. However, there is no central access to and overview of this information, which means that finding their interrelationships requires a great deal of time and money.
With an enterprise knowledge graph, all relevant artifacts are linked and their dependencies and effects are made visible at an early stage. As the most native form of knowledge representation, the technology enables data silos to be bridged easily, making the Digital Twin a reality.
We will demonstrate how such a Digital Twin is set up and used in concrete customer projects from the automotive industry.