Master Thesis with 3DSE Management Consultants.
📌 Key facts
- 📌 Key facts
- 💡 Background
- 🦾Who We Are
- 🎯 Goals
- 🎓 Profile
- 📚 Further Reading
- ➕ Additional Information
- 📝 How to Apply
- 📬 Contact
💡 Background
Product development connects activities such as requirements analysis, system architecture, engineering reviews, and test derivation. These activities are often split across roles, tools, and data sources, creating manual handovers and gaps in traceability. AI agents could coordinate work across several process stages, but their industrial use requires reliable workflows, clear human decision points, and evidence of better performance.
🦾Who We Are
3DSE Management Consultants is a specialized management consultancy focused on product and service development. We help industrial companies make their development organizations more effective by improving strategy, processes, structures, and collaboration. Our work combines rigorous methods with a strong focus on people and behavior to turn complex challenges into measurable results.
The Chair for Strategy and Organization is focused on research with impact. This means we do not want to repeat old ideas and base our research solely on the research people did 10 years ago. Instead, we currently research topics that will shape the future. Topics such as Agile Organisations and Digital Disruption, Blockchain Technology, Creativity and Innovation, Digital Transformation and Business Model Innovation, Diversity, Education: Education Technology and Performance Management, HRTech, Leadership, and Teams.. We are always early in noticing trends, technologies, strategies, and organisations that shape the future, which has its ups and downs.
🎯 Goals
Develop and evaluate a reference approach for using AI agents across connected product-development activities.
Research question: How should development processes and agent architectures be designed so agents can reliably support work from requirements through architecture and review to testing?
🎓 Profile
Suitable for students in systems engineering, mechanical or industrial engineering, computer science, software engineering, or a related field. Applicants should be interested in product development and Generative AI, with basic knowledge of requirements, architecture, verification, or testing. Python, APIs, LLM applications, or RAG experience is an advantage.
📚 Further Reading
- ISO/IEC/IEEE (2023), Systems and Software Engineering—System Life Cycle Processes (15288:2023).
- Kretzschmar et al. (2024), Evaluating the Current Role of Generative AI in Engineering Development and Design.
- Li (2024), A Review of Prominent Paradigms for LLM-Based Agents.
- Peffers et al. (2007), A Design Science Research Methodology for Information Systems Research.
➕ Additional Information
Using a Design Science Research approach, the thesis will model a representative process, define agent roles and human-in-the-loop decisions, and develop an architecture and prototype. A suitable process could be Requirements → System Architecture → Review → Test. The pilot may focus on selected handovers and be evaluated for processing time, output quality, traceability, rework, reliability, and user acceptance.
📝 How to Apply
Email the thesis title you are interested in and a short introduction to your background and research interests.
📬 Contact
Prof. Dr. Clemens van Dinther
3DSE Management Consultants GmbH