Manuj Naman
Papers
1
Total Citations
1
H-Index
1
About
Manuj Naman is an emerging researcher whose work sits at the intersection of operations management, human-robot collaboration, and warehouse logistics. His most-cited study, “Optimising human-robot collaboration for efficiency in retail warehousing” (2025), investigates how Autonomous Mobile Robots (AMRs) and human pickers can work together more effectively in hybrid order-picking systems. The research identifies optimal resource allocation strategies and highlights the critical role of warehouse layout design—especially cross-aisle placement—in boosting operational efficiency. Though early in his career, Naman’s work addresses a pressing industry challenge: the integration of automation with human labor in fast-paced retail environments. His findings offer actionable insights for warehouse managers seeking to balance productivity, cost, and workforce dynamics. As e-commerce and omnichannel retail continue to expand, Naman’s research provides a foundational framework for designing smarter, more collaborative logistics systems. With growing interest in human-centric automation, his contributions are poised to influence both academic inquiry and real-world warehouse operations.
Research Focus
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Top Papers
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