Hagen Salewski

Papers

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About

Hagen Salewski is a leading researcher in logistics and operations optimization, with a focus on automated material handling systems and last-mile delivery. His most influential work, "Order batching and batch sequencing in an AMR-assisted picker-to-parts system" (2021, 68 citations), addresses the critical challenge of integrating autonomous mobile robots (AMRs) into warehouse order fulfillment. By developing novel algorithms for batching orders and sequencing picks, Salewski has provided foundational insights into how AMRs can reduce travel time and improve throughput in picker-to-parts systems—a key concern for modern e-commerce and distribution centers. Earlier, he explored the emerging field of multi-modal delivery with "A Genetic Algorithm for Solving the Truck-Drone-ATV Routing Problem" (2019, 19 citations), pioneering a hybrid approach that combines trucks, drones, and all-terrain vehicles for efficient last-mile logistics in complex environments. His work is widely cited by both academics and industry practitioners, reflecting its practical relevance. Salewski’s contributions stand out for their algorithmic rigor and direct applicability to real-world supply chain challenges, making him a notable voice in the evolution of smart warehousing and autonomous logistics.