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Total Citations
6
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About
Timo Gschwind is a leading researcher in operations research and logistics, with a primary focus on electric autonomous mobile robots (AMRs) and vehicle routing problems. His most-cited work, "Exact algorithms for routing electric autonomous mobile robots in intralogistics" (2024, 6 citations), addresses the critical challenge of integrating battery constraints—such as swapping or induction charging—into route planning for AMRs in manufacturing and warehouse settings. By studying variants of the electric vehicle routing problem with due dates (EVRPD), Gschwind develops exact algorithms that optimize both efficiency and energy management, bridging the gap between theoretical optimization and practical intralogistics applications. His contributions are vital for the growing field of sustainable automation, where energy-aware routing reduces downtime and operational costs. Gschwind’s work stands out for its rigorous mathematical modeling and real-world relevance, offering scalable solutions for industries transitioning to electrified fleets. With a citation count reflecting the emerging importance of this area, his research is essential reading for students and professionals interested in the intersection of electric mobility, logistics, and algorithmic optimization.
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