|Date||26th November 2020|
|Time||10-11 a.m. CET|
Systems Engineering | Traceability | Smart Engineering | Digital Twin | Digital Thread | Data Silos | Vehicle Development | Engineering | Data Linking | Knowledge Graph | AssetLM | PLM
Engineering machinery and equipment has a long-standing tradition. At the core of the 19th century industrial revolution, it is currently required to reinvent itself significantly. Digitization, legal and societal demands (i.e. environmental) or products that are to be developed faster and faster, while getting more complex by the day, are just some challenges companies are facing. Looking at the automotive industry in particular, new players challenge traditional powerhouses as much as their conventional business models, putting the discipline under enormous pressure.
The painted situation puts enormous stress on engineering to design new or enhance existing goods and services. It is therefore extremely important, that Asset and Product Lifecycle Management (AssetLM, PLM) are supplied with information that is traversable, transparent and reliable throughout - regardless of changes, systems or origin. Moreover, the availability of cohesive knowledge is not only crucial for designing innovative products and maintaining resilient, automated production lines. For some, it might even be a question of corporate survival.
Model-based systems engineering (MBSE) is a promising, interdisciplinary and collaborative approach that comes to mind as a solution. Unfortunately, existing IT landscapes do not support this idea sufficiently, even though most of the corporate data is already digitized and generally available. Only by linking data one is to break down existing silos and to ensure that relevant information is consistent traceable and, more importantly, available where needed.
In our online seminar, we will talk about how this can be achieved. You will learn, how an industrial knowledge graph is able to automatically link all enterprise data, to enable Digital Twins for diverse use cases and to provide data layers as a basis for further applications such as AI:
- Follow an exemplary use case to understand the capabilities of such a graph technology and how complex systems can be transparently provide information to its users.
- Learn through prominent examples from of the automotive industry, where once primarily car manufacturers and suppliers are transforming into integrated components of mobile ecosystems while their "product car" is evolving into a complex, consolidative technical "system" of mechanics, electrics/electronics and software.
Make complexity manageable!
You cannot attend the online seminar, but you are interested in the topic? No problem. All registered participants will receive the recording afterwards.
- Sebastian Dörr
- Joachim Caspar
- David Wilcox (Moderation), marketkey