Bachelor / Master Thesis: Simulation Models for Sustainability Assessment in Circular Product Development
Website Institute of Machine Elements and System Engineering
The Institute for Machine Elements and Systems Engineering (MSE) conducts interdisciplinary research on a broad spectrum of current and future industryrelevant topics. MSE’s ‘Systems Engineering – Design Methodology’ department focuses on Model-Based Systems Engineering (MBSE) to accelerate the development of more sustainable products.
Your thesis will be embedded in the ongoing research project ‘Product Signatures for Sustainability Optimization with Circular Economy’ (ProSa). ProSa aims to accelerate the calculation of product sustainability KPIs and integrate them into the emerging EUwide standardized Digital Product Pass (DPP). Because the required data for DPP is currently often scattered across different sources, ProSa aims to bring it into a structured platform to make environmental footprint and circularity information more transparent.
Your work will focus on developing simulation models for calculating sustainability KPIs. Depending on your interests, the thesis can be tailored toward system modeling, simulation modeling, or validation with real industrial data.
Possible tasks include:
- Literature review of existing sustainability assessment methods.
- Identification of relevant sustainability parameters in the life cycle process of a screw (e.g. raw materials, wire production, milling, or melting down for recycling).
- Model Development (SysML and Python) for the calculation of sustainability KPIs required for a Digital Product Pass.
- Validation of the results with real industrial data.
Your profile:
- Independent, structured and reliable way of working.
- Interest in sustainability and system modeling.
- Basic knowledge of model-based systems engineering is a plus.
What we offer:
- A flexible thesis focus that can be adapted to your personal interests.
- Participation in the on-going industrial project ProSa.
- Close and Intensive supervision throughout the thesis.
- Flexible start date.
- Comfortable air-conditioned offices as well as possibility of remote work.
- Excellent working atmosphere
We look forward to your application by email:
Yujing Feng, M. Sc. RWTH
Institute for Machine Elements and Systems Engineering
Eilfschornsteinstr. 18 52062 Aachen
Yujing.feng@imse.rwth-aachen.de
Um sich für diesen Job zu bewerben, sende deine Unterlagen per E-Mail an Yujing.feng@imse.rwth-aachen.de
