Rodrigo Merino
Papers
1
Total Citations
5
H-Index
1
About
Rodrigo Merino’s research lies at the intersection of industrial engineering, decision science, and manufacturing systems, with a particular focus on optimizing robotic operations under uncertainty. His most-cited work, “An integrated model for robot selection in robotic cells under uncertain situations” (2015), addresses a critical challenge in modern manufacturing: how to choose the right robot when conditions are unpredictable. By developing a robust, multi-criteria decision-making framework, Merino provides companies and experts with a practical tool to navigate complex trade-offs in performance, cost, and reliability. This contribution has garnered 5 citations, reflecting its relevance to practitioners and scholars alike. Merino’s work is notable for bridging theoretical modeling with real-world industrial needs, helping decision-makers move beyond intuition to data-driven selection. His research underscores the growing importance of automation in society and offers actionable insights for improving efficiency in robotic cells. For students and researchers in operations research or manufacturing engineering, Merino’s integrated approach serves as a valuable case study in applying quantitative methods to pressing industrial problems.
Research Focus
Key Achievements
Top Papers
- 1