
The Service Management department optimizes processes in the operation, maintenance and repair of technical systems. We use modern technologies and innovative concepts to create sustainable added value. MLOps play a decisive role in efficiently implementing data-driven approaches in the context of AI and ML.
Thesis objective The aim of your thesis is to adapt MLOps approaches specifically to the use case of maintenance. You will develop an approach that enables the effective use of AI/ML in maintenance processes and is supported by MLOps. Based on your results, you will derive recommendations for the implementation of customized MLOps pipelines.
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Use research. Create added value.
The FIR is a cross-industry research and training institution at RWTH Aachen University in the field of business organization and corporate IT with the aim of creating the organizational foundations for the digitally networked company of the future. By researching and transferring innovative solutions, the FIR contributes to increasing the competitiveness of companies.
The FIR contributes to increasing the competitiveness of companies by researching and transferring innovative solutions. This is carried out in the appropriate infrastructure for experimental organizational research in a methodologically sound, scientifically rigorous manner and with the direct involvement of experts from industry.
The focus is on industrial verticals as use cases. These are currently: Future Logistics, Smart Services/Maintenance, Smart Buildings and Smart Mobility. The institute supports companies, researches, qualifies and teaches in the areas of service management, business transformation, information management and production management. As a member of the German Federation of Industrial Research Associations, the FIR promotes research and development for the benefit of small, medium-sized and large companies.
Imprint: http://impressum.fir.de
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