Bachelor-/ Master Thesis: »AI for the Optimization of Production Processes«

The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research units throughout Germany and is a leading applied research organization. Around 32 000 employees work with an annual research budget of 3.4 billion euros.

At the Fraunhofer IPT in Aachen, we work with more than 530 employees every day to make the production of the future more digital, more flexible and more sustainable. In the department for »Production Quality«, we focus on the digitalization of production systems in order to increase the quality, resilience and sustainability of production processes.

The optimization of production processes is gaining in importance due to the increasing requirements for efficiency and sustainability of processes, but is also becoming more complex. Artificial intelligence (AI) has the potential to significantly improve the optimization of production processes in terms of time, cost and resource efficiency. The challenges arise from the selection and configuration of AI algorithms and the interaction between AI and process engineers. In your thesis, you will investigate how AI algorithms can be utilized for multi-objective process optimization and integrated into production engineering practice., With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Ihre Aufgaben

• Literature research on AI algorithms for multi-objective optimization of production processes

• Selection and engineering of functional and non-functional requirements for data-driven process optimization

• Data analysis, development and implementation of AI algorithms

• Planning and conducting experiments, evaluation and visualization of the results

• Validation of the optimization algorithm on a specific production process

• Documentation of the results and writing the thesis

Ihr Profil

• You are studying mechanical engineering, computer science, mathematics or a comparable field of study

• You are familiar with the theory and approaches of artificial intelligence and machine learning and would like to specialize in this field

• You are proficient in the Python programming language and optimally have first experience in associated software libraries

• A high level of motivation, willingness to learn and independence

• Good language skills in German and/or English

  What you can expect

• Ideal conditions for practical experience alongside your studies

• Professional supervision and collaboration in a dedicated team

• A state-of-the-art machine park equipped with edge cloud systems and 5G infrastructure

• Flexible working to combine study and job in the best possible way

Kontakt

Lars Leyendecker M. Sc. Group manager »Production Quality« Phone: +49 241 8904-314

Fraunhofer Institute for Production Technology IPT

www.ipt.fraunhofer.de