Roberto Montemanni
Papers
2
Total Citations
21
H-Index
2
About
Roberto Montemanni is a leading researcher in operations research and artificial intelligence, with a focus on optimizing complex logistics and supply chain systems. His most impactful work addresses the critical challenge of manual order picking—one of the most labor-intensive and costly activities in modern warehouses. In his highly cited 2022 paper (19 citations), Montemanni developed innovative models for picker-to-parts systems in two-blocks warehouses, integrating Automated Mobile Robots (AMRs) to significantly improve efficiency and reduce operational costs. This contribution has direct implications for the future of warehouse automation and smart logistics. Beyond logistics, Montemanni explores the broader societal impacts of technology, notably in his 2019 work on artificial intelligence for healthcare and rescuing technology, where he examines both technical advancements and their effects on employment and work organization. His research bridges theoretical optimization with practical, real-world applications, making him a key figure in the intersection of AI, robotics, and supply chain management. With a growing citation record, Montemanni continues to shape how industries adopt automation to enhance productivity and safety.
Research Focus
Key Achievements
Top Papers
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