Knowledge as a Success Factor in CPS Development - Quantifying and Applying Knowledge in an Interdisciplinary Environment

The development of high-tech systems, such as cyber-physical systems (CPS), requires a high degree of interdisciplinary cooperation between mechanical, electrical, and software engineers. These complex systems are based on a large number of references that serve as the basis for development. However, knowledge of these references varies greatly and significantly influences the success of the development process. It is therefore crucial for companies to be able to assess and evaluate the existing knowledge of these references in order to ensure a smooth and successful development process.

What we want to do:

In the development process of CPS, it is essential that developers are able to accurately assess the impact of changes, particularly in an interdisciplinary environment. The model of SGE - System Generation Engineering provides a framework that requires further optimization to enable more effective assessment and evaluation of changes. A significant challenge is to develop a method for objectively quantifying the knowledge of all parties involved about the references. This will ensure transparency throughout the development process and guarantee consistency between technical models.

Your task:

It is essential to conduct a thorough assessment of current knowledge to accurately determine the extent of potential change. The objective of this thesis is to develop a methodology for quantifying existing knowledge in the context of CPS development. As part of this thesis, a comprehensive literature review of the current state of research and existing approaches to knowledge quantification in technical development processes will be conducted initially. Based on this analysis, the identified approaches will be evaluated in terms of their benefits and applicability in the context of system generation development. On this basis, a model will be created that enables existing knowledge to be systematically recorded and quantified.

This thesis thus makes a significant contribution to the further development of the SBU model for use in the development of cyber-physical systems. By quantifying knowledge, a communication basis is created with which engineers from different domains can exchange information about planned changes.

Am I suitable for this?

If you have an interest in technology (e.g., mechanical engineering, electrical engineering, mechatronics, computer science, industrial engineering, etc.) and are interested in the development process of cyber-physical systems, we would like to hear from you. You should enjoy researching new and interesting topics and be willing to engage with the theoretical aspects of product development.

Your benefits:

• Work on an interdisciplinary topic between mechanical engineering, electrical engineering, software and industrial engineering
• The possibility of a joint scientific publication
• Willingness to familiarize yourself with various specialist areas
• Intensive 1:1 coaching with a research assistant
• Optional: regular networking and exchange with students working on theses at Convide

Still have questions or interested? Then please send an e-mail to lars.gesmann∂kit.edu.