This position involves researching the current state of Industry 4.0, identifying challenges, and exploring future perspectives in the context of digitalization.
FIR e. V. at RWTH Aachen is focused on the realization of Industry 4.0, emphasizing the technological foundation necessary for companies to thrive in this new industrial paradigm. The company highlights the importance of integrating various information and value creation technologies on the shop floor and office floor systems, such as ERP, to successfully implement Industry 4.0 initiatives. Prioritizing planned measures based on their benefits to the organization is a key aspect of their approach.
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Jobs from FIR e. V. an der RWTH Aachen:
Bachelor's / Master's or Project Work: Use of AI Agents in Process Intelligence
Bachelor's / Master's or Project Work: AI-Supported Interface Connection
Visualization of Processes in Object-Centered Process Mining
Bachelor/Master or Project Work on AI-based Anomaly Detection in Manufacturing Companies
Thesis: Disruption Management in Scalable Production
FIR e. V. at RWTH Aachen is focused on the realization of Industry 4.0, emphasizing the technological foundation necessary for companies to thrive in this new industrial paradigm. The company highlights the importance of integrating various information and value creation technologies on the shop floor and office floor systems, such as ERP, to successfully implement Industry 4.0 initiatives. Prioritizing planned measures based on their benefits to the organization is a key aspect of their approach.
Share This Job!
Save This Job!
Jobs from FIR e. V. an der RWTH Aachen:
Bachelor's / Master's or Project Work: Use of AI Agents in Process Intelligence
Bachelor's / Master's or Project Work: AI-Supported Interface Connection
Visualization of Processes in Object-Centered Process Mining
Bachelor/Master or Project Work on AI-based Anomaly Detection in Manufacturing Companies
Thesis: Disruption Management in Scalable Production
FIR e. V. an der RWTH Aachen
This internship focuses on modular simulation of production planning and control processes, requiring a background in engineering or informatics.