“The digitization of industry allows us to combine real and virtual data. The combination of this data provides us with information to prevent breakdowns and unplanned plant downtime. Customers are informed at an early stage and service teams are deployed efficiently. With these opportunities, we are developing new business models in the area of digital service models.”
Condition monitoring in real time
Ensure availability of the plants
Condition-based maintenance and services
Remaining useful life prediction
Avoidance of expensive repairs
Smart products
Condition-based monitoring
Connectivity with other products and systems
Optimal utilization of service capacities
Increase productivity
New service models
New data- and service-driven business models
Pay per Use or Machine as a Service
Customer- or machine-specific usage recommendation
Recurring revenue opportunities and stronger customer loyalty
"The digital twin accompanies the real product in a virtual world. It enables predictive maintenance of plants and machines. Our customers thus reduce their service costs and build new markets for themselves with new business models around digital service models."
Digital twins: Success stories from medium-sized businesses
Driving industrial digital transformation and creating added value
An excerpt from our customer projects
Digital Twin in Valve Technology
Process Optimization in Magnesium Melting Furnace
PoC on a NETZSCH progressing Cavity Pump
Towards a Digital Twin for Metal Processing
Digital Twins for cost-efficient Distribution
Predictive Maintenance in Automation Technology
Simulation-based Digital Twins
The advantages at a glance
benefit from simulation-based Digital Twins
Advanced information through virtual sensors
Digital twins provide extended information through virtual sensors of sensor-fed simulations. In this way, properties can be recorded that are otherwise hardly measurable, e.g. fatigue, cavitation, corrosion.
Added value through predictive maintenance
Predictive maintenance enables long-term customer retention and new services, e. g. “Pay per Use” or “Maintenance as a Service”.
ITficient supports you in the development of such business models.
Optimal operation
Operators with better knowledge of their equipment can use it optimally and better balance competing criteria such as operating time, performance, energy costs and degradation.
Configure, Price, Quote (CPQ)
With numerical simulation models, you can configure and validate sophisticated solutions based on real-time usage profiles. This can increase confidence and reduce quality costs.