Oliver Wendt

Papers

Total Citations

107

H-Index

About

Oliver Wendt is a researcher whose work sits at the intersection of combinatorial optimization, logistics, and autonomous delivery systems. He has made significant contributions to the emerging field of drone- and robot-assisted last-mile delivery, tackling complex routing problems that reflect the realities of modern supply chain innovation. His most influential work, "The multiple traveling salesman problem in presence of drone- and robot-supported packet stations" (2022), has garnered 88 citations, establishing him as a leading voice in extending classical vehicle routing frameworks to accommodate cutting-edge delivery technologies. Building on earlier foundational research, his 2020 paper on the Drone-Assisted Traveling Salesman Problem with Robot Stations (TSP-D-RS) explored coordinated truck-drone systems enhanced by strategically placed robotic stations, demonstrating how hybrid fleets can optimize delivery routes in practical settings. Wendt's research is particularly noteworthy for bridging theoretical operations research with real-world applicability, addressing how autonomous vehicles can be integrated into logistics networks efficiently. His growing citation record reflects the timeliness and relevance of his contributions as industries worldwide accelerate their adoption of drone and robotic delivery solutions.