Anacleto Petretti

Papers

Total Citations

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About

Anacleto Petretti is a researcher specializing in optimization, automated scheduling, and intelligent control systems for industrial robotics and packaging applications. His work focuses on developing advanced algorithmic frameworks to enhance the efficiency and performance of robotized manufacturing environments, particularly in the context of dynamic, real-time decision-making challenges. Petretti's most notable contributions center on the design of optimal online schedulers for packaging systems, where robotic agents must pick randomly arriving products from continuously moving conveyor belts and pack them into multi-capacity boxes — all while minimizing product loss. His 2015 paper, "Modeling and Design of an Optimal Line Manager of a Packaging System with MILP," introduced a Mixed-Integer Linear Programming approach to tackle this complex combinatorial scheduling problem, earning 6 citations. Building on this foundation, his 2016 follow-up, "Performance Improvement for Online Schedulers for Packaging Systems," refined these control techniques to further reduce inefficiencies, accumulating 4 citations. Though still an emerging body of work, Petretti's research addresses a practically significant gap in industrial automation, offering rigorous mathematical tools to industries reliant on high-throughput, precision-driven packaging operations. His contributions are particularly relevant for engineers and researchers working at the intersection of operations research and autonomous robotic systems.