Digital twin
Map physical assets digitally and simulate them.
The digital twin links design, operations and maintenance data into a virtual image, showing the impact of parameter changes and loads through simulation.
- Higher efficiency
- Better planning
- Cost reduction
development time
maintenance costs
payback
asset availability
Calculated from shorter development cycles, lower prototyping effort and optimised maintenance.
- 01
Data integration
Consolidate data from ERP, MES and further sources for Digital twin.
- 02
Data quality
Clean, harmonise and validate data for plausibility.
- 03
Model development
Train and validate the Digital twin model on historical data.
- 04
Pilot
Pilot Digital twin in one area and collect feedback.
- 05
Rollout
Scale the solution and integrate it into operational processes.
Steps
Data sources
Stakeholders
From first data access to production – every step delivers a tangible interim result.
Machine data
Condition, parameters and production counters.
Product data
Bills of materials, variants and life cycles.
Maintenance data
Faults, maintenance and spare-parts consumption.
Sensor data
Real-time IoT and process sensors.
ERP data
Master and transaction data from ERP.
Documents
Specifications, quotes, contracts and reports.
R&D
Uses data for product and process improvements.
Maintenance
Plans maintenance and spare parts precisely.
Production manager
Uses insights directly in daily operations.
IT
Builds on a scalable and secure data infrastructure.
Higher efficiency
Better planning
Cost reduction
More innovation
Higher availability
With a solid data foundation this use case gets faster, cheaper and far more stable.
Central data platform
Real-time data integration
Scalable analytics pipelines
Reusable data products
Digital twin
Models can be reused in simulations.
Predictive maintenance
Sensor data provides wear indicators.
Predictive quality
Same data reveals quality deviations.
Lakehouse Architecture
A central lakehouse replaces the patchwork of data warehouse, data lake and Excel exports.
Data Integration from ERP & MES
Automatically merge ERP and MES data instead of exporting and reconciling manually.
Streaming & Real-Time Data
Instead of daily batch runs, relevant metrics are available within seconds.