Industrial automation starts with marking and coding

An ultimate goal in today’s industries is to achieve a high customization degree, down to a batch size of 1, under the favorable conditions of mass production. Variable coding at the latest possible time is a best practice: Late stage customization reduces storage costs and allows businesses to stay more agile in view of changes in demands.

With the help of industrial marking, products identify themselves at different manufacturing steps. The plant automatically sets all required parameters and machining points. The process starts without any human interaction. An automated workflow that reduces changeover times and eliminates operator errors. A way to make the efficient manufacturing of unique and personalized products possible!

A central IoT platform provides a detailed overview of current production data. If all systems, including sensors and webcams, are connected, valuable information on overall equipment effectiveness (OEE) and productivity is available. All events are registered in a logfile. Important metrics can be represented as production statistics. With a cloud solution, you can access from anywhere and receive alerts about diagnosed faults or potential issues before they lead to further problems.

Many of our customers use our labeling systems and inkjet printers in combination with industrial robots to achieve maximum efficiency, precision and process safety in their factory. The robots can assist, for example, in picking and placing components or products to position them accurately for best marking results. This is especially helpful with small and uneven products, variable labeling positions and larger distances between conveyors and machines. With our excellent, interdisciplinary network of industrial partners, we will be able to install the perfect solution for you!

Unexpected downtimes kill efficiency in industrial automation. While valuable production time is lost, external support is often needed but not always instantly accessible. Preventative maintenance, on the other hand, is performed periodically and limits the optimal use of resources. Predictive maintenance is designed to eliminate those disadvantages: It relies on real-time sensor data and a software to predict disruptions before they actually occur. The client benefits from longer life and higher performance of systems as well as better safety and planned budget. Other smart IoT services will complement maintenance in the future, from augmented reality support to automated updates and backups of on-site setup and order data.