Final Thesis: Design and Development of a Visualization System for Real-Time Dataflows and KPI Monitoring in automotive MES

Abstract: Production systems in modern automotive manufacturing generate huge amounts of operational data in real time, but there are often complex IT processing systems behind the scenes that are opaque and do not provide good insights. The opaqueness affects decision making, hindering the process of obtaining operational knowledge. The thesis will focus on the complete flow of data through each stage of production. The research will introduce a
visualization solution that enhances transparency and scaling. The data is processed in backend using Quarkus, while real-time data streaming is handled by Kafka. Finally, the visualization on the front-end is done with Angular. This allows operators and decision-makers to be aware of the inefficiencies and identify anomalies. The introduction of interactive visualizations improves usability, especially during real-time visualization as data is transmitted. The goal is to demonstrate data more intuitively and improve visibility allowing teams to take preventive actions towards possible disruptions in workflow. The objective is to develop a user-friendly tool that simplifies system monitoring, troubleshooting and encourages data-driven decision-making.

Keywords: None

PDF: Master Thesis

Reference: Abdul Haseeb. Design and Development of a Visualization System for Real-Time Dataflows and KPI Monitoring in automotive MES. Master Thesis. Friedrich-Alexander-Universität Erlangen-Nürnberg: 2025.