Digitalization in production
Digitalization in manufacturing
Digitalization unlocks enormous potential in manufacturing, ranging from cost savings and more efficient processes to reduced waste, greater transparency and more resilient supply and production chains. Our aim is to implement digitalization responsibly, purposefully and measurably – both internally within our extensive plant and externally with customers, whom we support in the design, development, implementation and application of digital methods.
Intelligent production optimization
Intelligent production optimization connects machines, systems and production lines to digitally monitored systems via modular IoT platforms, integrated sensors and edge computing. This enables real-time monitoring, predictive maintenance, optimized resource planning and data-driven control of complex manufacturing processes.
Using machine learning, simulation-based data models and process know-how, optimization potential is unlocked along the entire value chain, while blockchain-based data transfer makes sensitive processes tamper-proof and fully traceable. Our solutions support process visualization, production control, failure detection and strategic decision-making.
Personalized Chatbots & Digital Assistance Systems
This area focuses on the development of individually trained assistance systems for the intelligent structuring of specialist information such as user manuals, databases and personal process know-how. The use of secure and local chatbots improves the retention of specialist knowledge and significantly simplifies its accessibility.
Humanoid Robotics
Humanoid robots are the result of a precise interplay of mechanics, materials engineering and digitalization, which must be tailored to the requirements of the respective application environment. Material selection, design, freedom of movement, costs, spare parts availability and manufacturing are all taken into account, ensuring that each robot solution is optimized for its intended use.
Application areas range from industry and logistics to service, medicine, and education, with each robot being developed specifically for its intended requirements.
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