The Digital Twin bundles and connects the relevant information in a dynamic data model.
Use case example: Evaluation of a change request in the design department.
Many aspects must be considered, for example:
- Which components have to be redesigned?
- Are other components affected?
- Are there implications for production or logistics?
The relevant information has to be compiled in a complex way:
- Mechanical parts from PLM systems
- Costs from calculation tools
- Production data from ERP systems, etc.
Using proven T-Systems integration solutions, we extract data and relationships from the back-end systems under "minimally invasive intervention".
We link the information in semantic networks and uncover unknown relationships such as cost drivers. In our intuitive cockpits, the required data can be quickly found and used across systems.
In extreme cases, the decision-making process can thus be accelerated from several days to individual hours.
Enriched with additional data from production, sales, service or even sensor values from the field, the Digital Twin offers many more optimization potentials.
The Digital Twin becomes a companion for engineers.
It simulates the effects of changes and development steps on complex overall systems.
It matures in engineering, breaks up silos and reduces physical prototypes.
> The Digital Twin saves costs.
It is also available faster than a physical product and is already tested before production.
>The Digital Twin saves time.
Interested? Then contact us and take the opportunity of a free innovation workshop with our experts.