Jan Kleinlugtenbeld

Papers

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About

Jan Kleinlugtenbeld is a researcher at the forefront of logistics and human-robot collaboration, with a primary focus on optimizing order picking systems—a critical bottleneck in modern warehousing. His most-cited work, "Order Release Strategies for a Collaborative Order Picking System" (2022), explores how autonomous mobile robots (AMRs) can work alongside human pickers to dramatically improve efficiency. By investigating novel order release strategies, Kleinlugtenbeld demonstrates how these collaborative systems outperform traditional manual methods, reducing travel time and increasing throughput. His research addresses the practical challenges of integrating robotics into existing workflows, offering actionable insights for industry adoption. With 4 citations to date, this paper has already sparked interest among logistics engineers and operations researchers. Kleinlugtenbeld’s contributions are particularly notable for bridging the gap between theoretical optimization and real-world warehouse operations, making him a key voice in the evolving field of intralogistics. His work not only advances academic understanding but also provides a roadmap for companies seeking to leverage automation without displacing human workers.