Xiuping Guo
Papers
1
Total Citations
6
H-Index
1
About
Xiuping Guo is a distinguished researcher in industrial engineering and operations research, with a primary focus on production scheduling, robotic cell optimization, and metaheuristic algorithms. Her most-cited work introduces an effective chemical reaction optimization (ECRO) for solving the cyclic multi-type parts robotic cell scheduling problem with blocking—a complex, real-world manufacturing challenge. By developing a novel robotic activity encoding method, Guo enables simultaneous optimization of robotic move sequences and part input sequences, significantly improving efficiency in automated production lines. This contribution has garnered 6 citations and demonstrates her expertise in bridging theoretical algorithm design with practical manufacturing constraints. Guo’s research is particularly valuable for industries relying on robotic automation, where minimizing blocking and maximizing throughput are critical. Her work exemplifies how nature-inspired algorithms can be tailored to solve intricate scheduling problems, making her a notable figure in the field of computational intelligence applied to manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1