Emilio Moretti
Papers
4
Total Citations
23
H-Index
2
About
Emilio Moretti is an emerging researcher specializing in industrial logistics, flexible manufacturing systems, and autonomous mobile robotics, with a particular focus on part feeding systems for assembly environments. His work addresses a critical challenge facing modern manufacturing: how to efficiently supply assembly lines with components in an era of high product customization, small batch production, and compressed lead times. Moretti's most influential contribution, "A performance model for mobile robot-based part feeding systems to supermarkets" (2021, 12 citations), pioneered the analytical modeling of automated part feeding to supermarket-style inventory buffers — a novel and practically significant development in lean manufacturing logistics. His subsequent research has extended this foundation to explore real-time data integration in scheduling autonomous mobile robots for mixed-model assembly lines, demonstrating measurable improvements in material flow efficiency and inventory control. Beyond assembly contexts, Moretti has applied simulation-based methodologies to palletizing systems and vertical robotic storage solutions, reflecting a broad command of warehouse and shop-floor automation. With nearly 25 citations accumulated across a concise but focused publication record, his research offers valuable quantitative tools for engineers and operations managers navigating the growing complexity of smart factory design.
Research Focus
Key Achievements
Top Papers
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