Andreas Heimfarth

Stadtwerke Straubing (Germany), Technical University of Munich

Papers

Total Citations

241

H-Index

About

Andreas Heimfarth is a logistics and operations research scholar whose work sits at the cutting edge of last-mile delivery optimization. His research primarily focuses on the integration of autonomous delivery robots with traditional truck-based logistics systems, addressing one of the most pressing challenges in modern urban supply chains. Heimfarth's most significant contribution lies in developing holistic planning frameworks for truck-and-robot routing — a gap he explicitly identified in the field. His 2021 paper, "Cost-Optimal Truck-and-Robot Routing for Last-Mile Delivery," has accumulated 100 citations and established foundational mathematical models for coordinating autonomous ground robots alongside conventional delivery vehicles. This work was followed by complementary studies exploring mixed delivery approaches for daily customer supply and multi-vehicle routing scenarios, collectively demonstrating a systematic research agenda that has earned over 240 citations in just a few years. What makes Heimfarth's contributions particularly notable is their practical relevance: as companies like Starship Technologies and Amazon actively deploy delivery robots, his optimization frameworks provide the algorithmic infrastructure needed to make such systems economically viable. For students and researchers exploring smart logistics, autonomous delivery systems, or vehicle routing problems, his body of work represents essential reading in an emerging and rapidly evolving field.