Yuling Shang

Guilin University of Electronic Technology

Papers

Total Citations

H-Index

About

Yuling Shang is a leading researcher in human-robot collaboration (HRC) for advanced manufacturing, with a focus on optimizing the interplay between human well-being and production efficiency. Her key research areas include task scheduling, human fatigue modeling, and the integration of ergonomic considerations into automated assembly systems. Shang’s major contribution lies in developing scheduling models that strategically incorporate micro-breaks within job cycles, addressing the critical challenge of human fatigue—a primary cause of declining efficiency and long-term health risks in collaborative workcells. Her 2021 paper, "A task scheduling model integrating micro-breaks for optimisation of job-cycle time," has garnered 45 citations, while her 2022 follow-up, "Cycle Time and Human Fatigue Minimization," has 36 citations, collectively establishing a foundational framework for human-centric HRC scheduling. This work is notable for shifting the paradigm from purely productivity-driven automation to a balanced approach that safeguards worker health without sacrificing throughput. Shang’s research is essential reading for engineers and researchers designing sustainable, human-aware manufacturing systems, offering practical solutions to one of Industry 4.0’s most pressing human factors challenges.