Abstract
The automotive industry is currently undergoing transformative changes, driven by digitalinnovations and external economic challenges, including the COVID-19 pandemic and geopolitical uncertainties. These dynamics lead to significant fluctuations in demand and
supply difficulties. This work analyzes the role of digitalization in automotive supply chains
to effectively address these challenges. A particular focus is on technologies of the Internet
of Things (IoT), artificial intelligence (AI), Big Data, and blockchain.
The methodological approach of this research first includes a comprehensive literature review that deals with the basic principles and the current challenges of automotive supply
chains as well as relevant digitalization technologies. Based on this, the study investigates
the impacts of these technologies on automotive supply chains, using frameworks and case
studies to verify the practical applicability and effectiveness of the digital tools.
The findings of this work demonstrate that the deployment of digital technologies in the
supply chains of the automotive industry significantly increases agility and reduces risks.
The implementation of IoT and blockchain technologies improved traceability and real-time
monitoring of supply chain components, which led to enhanced adaptability to market fluctuations. Furthermore, the use of predictive analytics enabled the early detection of supply
bottlenecks and the initiation of preventive measures. The investigations show that digitalization measures are able to reduce operating costs and increase customer satisfaction.
| Date of Award | 2024 |
|---|---|
| Original language | German (Austria) |
| Supervisor | Hans-Peter Feichtenschlager (Supervisor) |