| Job titel | Master thesis |
|---|---|
| Start | Immedieately / by Arrangement |
| Theme | Artificial Intelligence, Automation, Automated guided vehicles, Digitalisation |
| Project | Development of a maturity model to prepare for the successful introduction of AGVs in SMEs (FTS-Ready) |
| Download | Download job offer as PDF |
| Application | Bitte sende deine aussagekräftige Bewerbung in einer einzigen PDF-Datei an jobs@iph-hannover.de und kennzeichne deine Bewerbung entsprechend, solltest du KI-Tools verwendet haben. Die Bewerbung muss Anschreiben, Lebenslauf sowie Prüfungsleistungen des Studiums / Zeugnisse enthalten. |
To lower the barriers to the implementation of AGVs in SMEs, the FTS-Ready project aims to develop a method based on a maturity model (MM). The MM assesses, based on the existing infrastructure, the extent to which SMEs meet the requirements for implementing AGVs and identifies any measures that need to be implemented beforehand. Furthermore, the method includes a decision-support tool designed to propose a vendor-neutral AGV solution based on given logistical requirements. The entire method is implemented in a software demonstrator.
Your tasks
- Structured research on prerequisites, maturity gaps, and measures related to the planning, implementation, and operation of AGVs, as well as on knowledge-based decision-making approaches
- Formalization of a suitable input and output format, including application scenarios, AGV technology class, prerequisites, current capability level, target capability level, and measures
- Development of a source-based catalog of measures, including their association with prerequisites, triggers, target states, dependencies, and validity conditions
- Identification of possible inference methods
- Definition of selection criteria and criteria-based selection of methods
- Prototype implementation of the selected inference logic, including clear justification and references to the sources of the generated actions
- Evaluation based on AGV application scenarios and defined maturity gap analysis
Your profile
You are studying one of the following subjects:
- Mechanical Engineering
- Mechatronics
- Industrial Engineering
- Sustainable Engineering
- Production and Logistics
- or a related field
You are interested in automation, data, etc., and are able to come up with good solutions on your own. Some experience with data analysis and software development is a plus. Good written and spoken German or English skills are required for the job.
We offer
- Independent work
- Flexible work hours
- Well-equipped workstations
- Work from home by arrangement
- Conducting experiments
- Long-term collaboration, if applicable
- Please send your application to jobs@iph-hannover.de
