Integrated Manufacturing Drives Industrial Transformation

DMG MORI is exhibiting at Hannover Messe 2026 (April 20-24) with a focus on integrated manufacturing systems that combine machine tools, automation, software, and artificial intelligence. The presentation highlights how digitalisation and data-driven processes are reshaping production and enabling more efficient, scalable industrial operations.

Manufacturing as the Foundation of Industrial Change
Industrial transformation is increasingly driven by developments in manufacturing, where precision, automation, and connectivity determine competitiveness. DMG MORI’s approach emphasizes stable and reliable production systems as the basis for long-term performance, particularly in industries with high quality and precision requirements.

At the center of the exhibition is a full-scale model of a DMU 340 Gantry 5-axis milling machine. The system is designed to machine large workpieces weighing up to 30 tonnes, demonstrating the capabilities of modern machine tools in handling complex, high-load components while maintaining long-term precision.

Machining Transformation Strategy
DMG MORI’s Machining Transformation (MX) strategy focuses on integrating the entire CNC process chain rather than optimizing individual machines in isolation. This includes combining multiple machining steps within a single system, integrating automation, and embedding digital tools for process monitoring and optimization.

The objective is to improve productivity, quality, and sustainability by reducing process fragmentation and enabling continuous data flow across manufacturing operations. This approach supports a more cohesive digital supply chain, where production systems are interconnected and responsive.

AI and Data Integration in CNC Processes
Artificial intelligence plays a key role in the MX framework by enhancing process stability and enabling predictive insights. AI-supported machining cycles help maintain consistent performance, while in-process measurement systems improve accuracy and reduce variability.

Data collected during production is used to analyze process performance, quality metrics, and energy consumption. This information forms the basis for digital twins and advanced analytics, enabling further optimization of manufacturing workflows.

Application Example: Complex Structural Components
At Hannover Messe, DMG MORI demonstrates its integrated approach using a turn-mill application for a rear keel bearing used in IMOCA ocean racing yachts. This component is subject to extreme mechanical stress and requires precise machining and high material integrity.

The example illustrates how integrated machining, automation, and AI-driven analysis can be applied to complex components used in sectors such as aerospace, medical technology, and energy systems.

Sector Focus and Industrial Relevance
The exhibition highlights key industries where advanced manufacturing capabilities are essential, including aviation and space, mobility, and medical technology. These sectors require high precision, consistent quality, and efficient production processes to support innovation and regulatory compliance.

By presenting real-world applications, DMG MORI demonstrates how machine tool technologies enable the production of critical components across these industries.

Linking Manufacturing to Everyday Applications
The “One Day With DMG MORI” concept illustrates how manufacturing technologies underpin everyday products. By connecting industrial processes with daily life, the exhibit highlights the often-unseen role of precision manufacturing in modern society.

Industry Context
The technologies presented reflect broader trends toward integrated, data-driven manufacturing systems. As industries adopt more connected and automated production models, the ability to combine machining, automation, and digital tools becomes increasingly important.

DMG MORI’s focus on end-to-end process integration demonstrates how manufacturing systems can evolve to meet the demands of modern industry, supporting efficiency, reliability, and long-term competitiveness.

Edited by Romila DSilva, Induportals Editor, with AI assistance.