Digital process optimization - collect data, react actively

At thyssenkrupp Automation Engineering we have been investing resources in digital process optimization solutions for years. Our customers from a wide range of industries benefit from our expertise as a digitization partner. For example, through software system solutions such as adm, an MES (Manufacturing Execution System) developed by us, which is already used as a standard system within the thyssenkrupp group in some areas, where it collects, archives and compiles the right data. This way, it transforms the previously reactive organizations of the divisions into acting organizations.

We collect data that enables evidence-based decisions in the workforce.

Jérôme Newie, Head of Operations bei thyssenkrupp Automotive Body Solutions

This above all applies to concerns about job security and fears of dystopian conditions in the human-machine relationship: No AI system - as of now - works completely autonomously. Every system is still dependent on programming and calibration by humans. The vast majority of so-called AI solutions are complicated if-then steps without autonomous learning. Partial steps have already been completed, i.e. production and logistics can already organize themselves to a large extent. However, the complete operation of manufacturing plants still needs the human component.

Of course, artificial intelligence is interesting in the long term, but it must never replace humans! That would be the wrong approach: In the end, the final decision must always lie with us!

Dr. Andreas Mohlfeld, Head of Digital Solutions thyssenkrupp Automation Engineering

The advancing digitization in countless industries is increasingly paving the way toward far-reaching transformation: humans and robots supported by digital systems are already working together "hand in hand" and together implement - also through production control systems such as adm - the most effective way of industrial production.

The system we have developed collects data in every connected production process. It merges the data and generates appropriate, targeted information for workers and planners. The result is an always up-to-date, consistent picture of all components of the production line.

We want to use digital processes to optimize production conditions in plant and make them more efficient, timesaving and resource-conserving, especially for operators.