Stefan Schaudt

Fraunhofer Institute for Material Flow and Logistics, TU Dortmund University

Papers

Total Citations

H-Index

About

Stefan Schaudt is a researcher specializing in last-mile logistics, autonomous delivery systems, and urban freight optimization. His work sits at the intersection of operations research and emerging delivery technologies, with a particular focus on how autonomous parcel robots can transform the final leg of the supply chain. Schaudt's most influential contribution is his development and analysis of two-tiered last-mile delivery frameworks, in which parcels are first transported to intermediate transfer points before being handed off to autonomous robots for doorstep delivery. This innovative systems architecture addresses critical inefficiencies in conventional urban parcel distribution. His 2019 simulation study of optimized last-mile parcel delivery networks has garnered 40 citations, establishing it as a foundational reference in the field, while his comprehensive case study evaluating autonomous parcel robot concepts has accumulated 33 citations, underscoring its practical relevance to both academia and industry. Schaudt further deepened this research agenda with an exact optimization approach for robot-assisted last-mile delivery, published in 2020. Together, his publications reflect a coherent and methodologically rigorous research program that combines simulation, case study analysis, and mathematical optimization to advance sustainable and scalable urban delivery solutions.