Exploring the Potential of IoT Technologies for Optimizing Trailer Fleet Services

In the rapidly evolving landscape of Fleet Operations, transformative technologies like the Internet of Things (IoT) are revolutionizing the commercial vehicle fleet industry. This PhD project aims to leverage advanced technologies to optimize commercial vehicle rental services. The research is structured around three core projects. The first project focuses on utilizing IoT data to advance the vehicle configuration process, for example, shifting from reactive to predictive tire choice, aiming to improve tire lifetime and reduce operational costs. The second project explores the adoption of dynamic, data-driven pricing models, offering a win-win scenario for both service providers and customers. The third project addresses route optimization in intermodal transport settings to reduce fuel consumption and improve logistical efficiency. We employ machine learning algorithms and analyze IoT data to gain insights and develop strategies that effectively optimize commercial vehicle rental services. In the end, the project seeks to develop new guidelines for operational efficiency and innovation in the commercial vehicle fleet industry.

Jens Dorniak is a PhD candidate in Operations Management at Kühne Logistics University, supervised by Prof. Dr. Kai Hoberg and Prof. Dr. Mirjam Meijer since September 2022. His research, in partnership with KRONE Fleet Deutschland GmbH, focuses on optimizing fleet management through data analytics and developing actionable insights for routine processes. He holds a Master of Arts in Management Analytics from the University of Mannheim. Jens has several years of professional experience in the automotive industry, last serving as a Sales Controller for Fahrzeugwerk Bernard Krone GmbH & Co. KG.