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Future PLM

With the Digital Twin, T-Systems enables the more efficient development of better products.

Systems Engineering and its problems around "Traceability

Especially in the development of complex products the components mechanics, electrics, electronics and software must fit together seamlessly. Nevertheless, Time2Market should be shortened and production should start smoothly.
The interdisciplinary approach of Systems Engineering is designed to ensure exactly that and to answer a wide range of questions:
  • Which parts or software components were realized by which requirements?
  • What costs are incurred by changes, how do they affect production or the supply chain?
  • Which functions have been tested and how, and how does my product behave in real operation?
This traceability along the value chain plays an important role for the "Smart Systems Engineering".
But how can it be achieved in historically grown, heterogeneous IT landscapes?

Digital Twin as an answer to these challenges

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.
 
 
 
 

T-Systems Solution


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.
 

Summary

 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.
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