Xiyan Yin
Papers
2
Total Citations
42
H-Index
2
About
Dr. Xiyan Yin is a leading researcher in the optimization of human-robot collaborative assembly systems, with a particular focus on the balancing challenges faced by small and medium-sized enterprises (SMEs). Her work bridges industrial engineering, ergonomics, and artificial intelligence to create safer, more efficient production environments. Her most influential contribution, "Solving human-robot collaborative mixed-model two-sided assembly line balancing using multi-objective discrete artificial bee colony algorithm" (2023, 34 citations), introduced a novel metaheuristic approach that simultaneously optimizes task allocation, robot placement, and worker ergonomics in complex mixed-model lines. This work has become a foundational reference for researchers tackling the NP-hard balancing problem in collaborative settings. More recently, her 2025 study on ergonomic risk and cost balancing in SME assembly lines (8 citations) extends this framework to resource-constrained environments, proposing practical trade-off solutions that reduce worker strain without sacrificing productivity. Dr. Yin’s research is distinguished by its direct applicability to real-world manufacturing, offering decision-support tools that help SMEs adopt collaborative robotics without prohibitive investment. Her work has been recognized for advancing both the theoretical foundations of assembly line balancing and the practical implementation of Industry 5.0 principles.
Research Focus
Key Achievements
Top Papers
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