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The shortage of skilled workers, the high individualization degree of products and increasing dynamic influences (e.g. delivery shortages) place high demands on the agility of manufacturing companies. In particular, manufacturing companies are forced to deploy employees for a wide range of tasks and realize short-term rescheduling. The goal of this thesis is the development of a planning model for adaptive, competence-based workforce scheduling. Based on the individual competence profile of employees, the model is to perform a competence-based allocation of employees to production tasks. In addition, the model should assign necessary training material (e.g. work instructions) to employees in order to efficiently close competence deficits.
What you will do
- Research of the state of the art in the areas of optimization models and workforce scheduling
- Design and implementation of the planning model
- Validation based on an industry-related research project
- Evaluation and documentation of the results
What you bring to the table
- You are studying mechanical engineering, computer science, industrial engineering or a comparable subject
- A high degree of initiative and team spirit
- Good language skills in German 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
Questions according to this position will be answered by:
Maximilian Motz M.Sc.
Research assistant production quality
Fraunhofer Institute for Production Technology IPT
Steinbachstr. 17, 52074 Aachen
Phone: +49 241 8904-449
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