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Digital Twin for the Development

A Virtual Environment for an Optimized Development Process

In a glance


Optimising ongoing production systems involves considerable effort and high costs.
Digital twins create a virtual environment for targeted process improvement – without interfering with ongoing operations.
T60 comprehensively analyses your systems, develops a tailor-made solution and takes control of its implementation.
Together, we specifically increase the added value of your production – efficiently, safely and sustainably.

How can I optimise processes and systems without interrupting ongoing production?

– A classic in the lifecycle of complex products

The Challenge


Production systems must be continuously optimised throughout their entire lifecycle in order to meet the demands of a dynamic business environment. This requires precise information from ongoing operations – but at the same time, there is little room for testing, interruptions or errors in production.

Is your production ready for the future?

Virtual representations of machines and processes enable realistic and risk-free testing. Scenarios can be simulated, sources of error identified at an early stage and optimisation measures reliably evaluated – long before they are implemented in the real production environment.

Our approach


Through targeted analysis of existing documentation, production systems and processes, as well as interviews with employees, T60 assesses the initial situation and, based on this, defines concrete measures for the use of a digital twin.

  • Analysis of existing processes and derivation of clear objectives and an application-specific concept for the digital twin.

  • Integration of IoT sensor technology for real-time monitoring of relevant process parameters as a basis for digital images.

  • Step-by-step implementation, starting with a pilot project and subsequent systematic integration into existing systems.

  • Training and operational support for successful and sustainable implementation during ongoing operations.

Conceptualization
Implementation
Integration

Most notable results


Real-time monitoring and optimisation

  • Continuous monitoring of the physical system
  • Early detection of inefficiencies
  • Problems can be realistically reproduced and analysed – without interfering with ongoing production

Improved predictive capabilities

  • Accurate predictions of performance and failures
  • Proactive intervention based on sound forecasts
  • Minimisation of unplanned downtime
  • Optimised maintenance intervals and measures

Greater efficiency and cost savings

  • Resource efficiency and system optimisation
  • Targeted further development of processes and plants
  • Significantly reduced downtime thanks to virtual commissioning

From virtual representation to real efficiency

Christian Eickhorn

Christian Eickhorn

Practice Lead Procurement & Supply Chain

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