TRUMPF machines join the cloud

Five new apps delivered as standard with many new machines

TRUMPF customers who purchase a new machine now get an automatic ticket to digitized manufacturing in the form of five new apps. These innovative apps are designed to analyze the data generated before, during and after production. By choosing machines with this digital feature, customers get handy access to the information they need to increase the transparency of their manufacturing operations, optimize their processes, and boost productivity.

Secure, cloud-based data analysis

The data is processed by TRUMPF subsidiary AXOOM on its cloud platform. Its servers are located in Germany and Europe to ensure compliance with strict data protection legislation. Customers can decide for themselves whether they wish to link their machines to the cloud. Engineers can then establish the connection when they set up the machine for the first time. The information collected by the apps can be accessed at any time on a PC, tablet or smartphone.

These five apps are a further addition to the smart factory solutions that TRUMPF offers under its TruConnect label. They will initially be available to customers in Germany, Austria, Switzerland and the Netherlands. Customers can use them at no charge for 12 months and then decide whether they wish to continue using the products.

www.trumpf.com

Die fünf Apps und was sie können:

What the five apps do:

The first app, "Live Status", notifies users if a machine comes to a halt. It provides access to the machine's status from anywhere and enables users to see how long a program has left to run. That makes it easier for the machine operator to determine the best moment to set up the machine for its next job and load it with the required material.
The "Machine Analytics" app provides an overview of the machine data and status updates from the preceding three days. It shows when the machine was in operation and highlights any downtime or interruptions in the production process. This information can be used to improve the machine's capacity utilization.
"Program Analytics" shows users which programs typically experience the most problems. Programmers can then use this information to make improvements. Program Analytics also makes it easier to choose programs that are particularly suitable for night or weekend shifts.
"Material Analytics" focuses on material consumption. The app analyses the quantities of each material used by a machine. That makes it easier to plan future orders and set the terms of framework agreements.
"Punching Tool Analytics" identifies which tools are used most frequently and gives users suggestions on which ones to convert into standard tools. That reduces the number of tool changes. The app also provides an overview of the number of strokes per tool class, indicating when the time has come to regrind or order a new tool.