Understanding Industry 4.0
Understanding Industry 4.0 Seminar


The seminar is offered exclusively in German.
The seminar ‘Understanding Industry 4.0’ provides a practical understanding of the key developments in modern industry. It focuses on digitalisation, automation, artificial intelligence and the intelligent use of data. The aim is to help specialists and managers understand how these technologies are interlinked and to highlight their benefits for industrial practice.
It becomes clear that Industry 4.0 is far more than just robotics or software. The key lies in the interconnection of people, machines, processes and data to increase transparency, flexibility and competitiveness. At the same time, the seminar highlights the role that experience, specialist knowledge and business decisions continue to play, even in an increasingly digital world.
Understanding Industry 4.0
This seminar covers the fundamentals of modern Industry 4.0 concepts and helps companies to better assess the opportunities and risks associated with new technologies, as well as to make well-informed investment and development decisions.
1. Fundamentals of Industry 4.0
- Development from Industry 1.0 to Industry 4.0
- The importance of connecting people, machines and data
- Opportunities and challenges of digital transformation
2. Digitalisation and data utilisation
- Data as a new strategic resource
- Benefits of production, quality and process data
- The importance of transparency and data utilisation for decision-making
3. Key technologies and terminology
- Understanding ERP, CAD, CAM and MES
- Digital twins and Model-Based Definition (MBD)
- OPC UA and modern data communication
4. Digitalisation and automation
- Differences and interrelationships between digitalisation and automation
- Prerequisites for successful automation projects
- Benefits for productivity and competitiveness
5. Artificial intelligence in industry
- Fundamentals and potential applications of AI
- Support for analysis, planning and quality monitoring
- Prerequisites for successful AI applications
6. The role of people
- Changes to tasks and responsibilities
- The importance of problem-solving and collaboration
- Human expertise as a key factor in the success of digital transformation
7. Digital literacy for managers
- Assessing the opportunities and risks of new technologies
- Developing a sound basis for decision-making
- Building digital understanding and future-oriented skills
8. The Production of the Future
- Connected machines and intelligent systems
- Digital twins, robotics and data-driven decision-making
- Developments and trends up to 2030
9. Methodology and Learning Format
- Interactive seminars and workshops
- Practical examples from the MEM industry
- Coaching and implementation support for companies






