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About

Yiting Sun is a rising scholar in the field of smart manufacturing, with a focused research agenda on human–robot collaboration (HRC) in assembly systems. Her work addresses the critical challenge of integrating collaborative robots into traditional production lines to improve flexibility and efficiency. Sun’s major contributions include the development of novel mathematical models and metaheuristic algorithms for balancing and scheduling assembly lines under HRC, covering U-type lines, parallel lines, and multi-type robot configurations. Her 2023 paper on balancing U-type assembly lines with HRC has already garnered 36 citations, and her 2024 studies on worker assignment and parallel line balancing have each accumulated 23–36 citations, reflecting strong and immediate impact in the operations research and manufacturing communities. Notably, her 2024 paper on parallel assembly lines with HRC provides a formal problem definition and a tabu search approach, offering a foundational framework for future research. Sun’s work is instrumental in advancing the practical deployment of collaborative robots in industry, and her growing citation record signals her emergence as a key voice in the next generation of production system optimization.