Digital Twin for the Production
A Virtual Environment for an Optimized Development Process
In a glance
How did we miss this before production started?
– Common questions in complex development projects
The Challenge
One of the decisive success factors of a project is commissioning. Specifications are often not fully met or critical issues occur—resulting in costly consequences such as unexpected costs and delays. It becomes even more severe when issues are only detected after production start, causing significant losses.
How can you deliberately increase the likelihood of a successful commissioning?
A key lever lies in one of the seven principles of testing: early testing. With digital twins, meaningful tests can be carried out in a virtual environment during early development phases—long before real equipment is available.
By digitally modeling machines and processes, functions can be simulated, scenarios tested and potential sources of error identified early—saving time, reducing costs and minimizing risks.
Our approach
Starting with a deep dive into the project, T60 works with your team to develop a tailored solution. The goal is to make the digital twin usable early—and then systematically integrate it into your existing systems.
Project deep dive to define objectives on a sound basis, in close alignment with the project team
Concept and architecture development for the specific digital twin
Step-by-step implementation, starting with a pilot project and subsequent integration into existing processes
Training & coaching to embed the digital twin in the test strategy and development process
Most notable results
Optimized development
- Faster and more efficient development and test iterations
- Enables rapid adjustments and optimizations
Increased quality and reliability
- Early detection of defects and issues
- Accurate predictions of performance and potential failures
Higher efficiency and cost savings
- Earlier (virtual) commissioning—even when the hardware is not yet available
- Shorter commissioning times in the real plant
- Efficient use of resources
From virtual representation to real-world solutions