Rodrigo Macedo

Papers

Total Citations

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About

Rodrigo Macedo is a researcher focused on the intersection of manufacturing systems, operational efficiency, and simulation-based decision support. His primary research area centers on in-house logistics operations, where he investigates how complex material flows and production line support can be optimized through advanced modeling techniques. His most cited work, "Simulation of in-house logistics operations for manufacturing" (2022, 13 citations), provides a framework for using simulation tools to help decision-makers identify improved system configurations, addressing the critical challenge of achieving high efficiency in modern manufacturing environments. This contribution is particularly valuable for practitioners seeking data-driven methods to reduce bottlenecks and enhance throughput. While his citation count reflects a growing, early-career impact, his work stands out for its practical relevance to industry, bridging the gap between theoretical simulation models and real-world operational improvements. Macedo’s research is a key resource for students and engineers aiming to understand how digital tools can transform traditional manufacturing logistics into agile, high-performance systems.