The continuing education program includes five training dates and is offered in both 2025 and 2026. In addition, you can look forward to several networking events throughout the entire project duration. There are no participation fees for the IRAPS continuing education program.
1. Resilient Production through IIoT Technologies
In this module, participants learn to promote the resilience of manufacturing companies, especially SMEs, through innovative IIoT technologies. The goal is to prevent production disruptions and failures, which can have a significant impact on production capacity.
Key topics:
- Condition Monitoring: Permanent monitoring of machine status for early detection of problems.
- Predictive Maintenance: Use of data to predict and prevent unwanted failures.
Advantages:
- Prevention of production failures
- Flexibility in production (Industry 4.0)
- Real-time visualization of production and machine data
- Quick reaction to deviations in manufacturing processes
After completing the module, participants can implement IIoT solutions in their own company, build a suitable data infrastructure, and use this data efficiently.
2. Digitalization, Data Analysis, and Process Management
Participants are taught methods and technologies for automated real-time analysis of IoT data, far beyond manual, visual analyses. Key topics are:
- Complex event processing and alarm mechanisms for automated detection of deviations (Predictive Maintenance).
- Machine learning and data mining to discover patterns in data.
After completing the module, participants can identify, evaluate, and implement small solutions for automated data analysis in their own company.
3. Process-based Security Management in IIoT
Condition Monitoring and Predictive Maintenance must be integrated into a comprehensive security concept. Key topics are:
- Multi-layered security concepts and the analysis of network anomalies
- Compliance with the IEC 62443 standard, which defines cybersecurity in industrial plants
- Security by Design: Cybersecurity is considered as early as the design process.
Participants learn the basics of process management (BPM) and the process modeling language BPMN. They are enabled to model operational processes, integrate security requirements, and use sensor and plant data for process-based control.
4. Organization and Enablement for Resilience
This module addresses the challenges of modern production environments in the VUCA context (Volatility, Uncertainty, Complexity, Ambiguity). The focus is on:
- Integration of AI, IIoT security, and process management
- Demographic change and shortage of skilled workers
- Hybrid and virtual work models (e.g., remote monitoring)
Participants acquire skills to adapt to digital work environments and modern security management approaches to successfully operate in an increasingly digital and resilient production environment.