Papers
1
Total Citations
5
H-Index
1
About
Rong Hu is a researcher focused on advancing manufacturing systems through intelligent optimization algorithms, particularly in the domain of assembly line balancing with human-robot collaboration. Her key research areas include co-evolutionary computation, cross-entropy methods, and the integration of automation with manual labor in production environments. Hu’s most notable contribution is the development of a CE-GA co-evolutionary algorithm (CE-GACEA) for solving the U-shaped assembly line balancing problem with man-robot cooperation (RCUALBP_MRC). This work addresses the critical challenge of optimizing resource allocation where robots and assistants are limited, aiming to simultaneously minimize total cost, maximize line efficiency, and reduce load variance. Her 2020 paper on this topic has garnered 5 citations, reflecting its relevance in the emerging field of collaborative manufacturing. By modeling scenarios where robots can replace human tasks and assistants support workers, Hu’s research provides practical solutions for flexible, cost-effective production systems. Her work is particularly valuable for researchers and engineers seeking to balance automation benefits with human skill utilization in modern assembly lines.
Research Focus
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Top Papers
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