Rong Xu
Papers
1
Total Citations
2
H-Index
1
About
Rong Xu is a researcher whose work centers on the modeling and analysis of complex manufacturing and robotic systems, with a particular emphasis on discrete event dynamics and automation. Her key research areas include the application of Generalized Stochastic Petri-Nets (GSPN) to optimize system design and workflow in robotized assembly environments. In her most cited work, "GSPN-based modeling and analysis for robotized assembly system" (2009), Xu demonstrates how high-level abstraction modeling tools can capture complex state transitions, enabling rational decision-making during system design. This contribution provides a formal framework for analyzing performance, identifying bottlenecks, and improving efficiency in automated production lines. While her citation count is modest, the work represents a foundational step in applying stochastic Petri-net theory to real-world industrial robotics challenges. Xu’s research is particularly valuable for engineers and researchers seeking to bridge theoretical modeling with practical assembly system optimization, offering a rigorous methodology for enhancing productivity and reliability in automated manufacturing environments.
Research Focus
Key Achievements
Top Papers
- 1GSPN-based modeling and analysis for robotized assembly system2 citations · 2009