Marco Melacini
Papers
3
Total Citations
16
H-Index
2
About
Marco Melacini is a researcher specializing in automated logistics systems, warehouse management, and advanced manufacturing supply chains, with a particular focus on the integration of autonomous mobile robots (AMRs) and intelligent material handling technologies. His work addresses a critical challenge facing modern industry: how to efficiently deliver parts and goods in environments characterized by high product variety, fluctuating demand, and pressure for rapid fulfillment. Melacini's most influential contribution — a performance model for mobile robot-based part feeding systems to supermarkets (2021, 12 citations) — broke new ground as the first formal analytical framework for modeling automated part feeding to supermarket-style internal logistics hubs, offering manufacturers a rigorous tool for system design and evaluation. Building on this foundation, his subsequent research has explored simulation-based approaches to palletizing systems and vertical robotic storage solutions, demonstrating a consistent methodological commitment to modeling and simulation as vehicles for operational insight. His work is particularly relevant for researchers and practitioners navigating the transition toward Industry 4.0 manufacturing environments, where flexibility and automation must coexist. Though his citation record is still developing, Melacini's contributions represent timely and foundational scholarship in an area of rapidly growing industrial importance.
Research Focus
Key Achievements
Top Papers
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