Yet this is precisely where many manufacturers struggle: wires have to be prepared, located, transported, and assigned. Valuable time is lost before the actual wiring process even begins.
The solution? A seamless wiring process. Together, Rittal Automation Systems and Eplan enable a continuous flow of data from engineering through to production. Wiring information is transferred directly from the digital twin, wires are automatically processed, and made available exactly where they are needed.
The result:
- Up to 15 times faster completion of wiring
- Less manual effort in wire management
- More projects despite the shortage of skilled workers
- Greater process reliability through end-to-end data continuity
This transforms wiring from a bottleneck into a driver of productivity.
Just how significant this potential can be in practice will be demonstrated by Rittal and Eplan at SPS 2026, Hall 3C, Booth 321. Using a real-world switchgear manufacturing example, visitors will see how end-to-end data consistency and automation solutions work together to significantly accelerate wiring processes.
This is exactly the idea behind “The System – Do it”: not simply optimizing individual process steps, but connecting data and processes in a way that generates measurable productivity gains.
Anyone interested in learning how this principle can be applied to their own production environment will find practical inspiration at the Rittal and Eplan booth in Hall 3C, Booth 321.
About Rittal
Rittal is a leading global system provider for hardware, software, and automation. Solutions for industry, IT, energy, power, and cooling are used in over 90 percent of industries worldwide. Rittal, Rittal Software Systems (Eplan, Cideon), and Rittal Automation Systems (RAS, Ehrt, Alfra) optimize and digitize processes along the entire value chain for customers, including IT infrastructure – from enclosure manufacturing to mechanical engineering, factory operators, and the energy sector.
The group is a pioneer in AI-driven industrial automation, driving AI in industrial software and enabling the necessary IT infrastructures.