Lvjiang Yin

Hubei University of Automotive Technology

Papers

Total Citations

116

H-Index

About

Lvjiang Yin is a leading researcher in intelligent manufacturing and production scheduling, with a focus on human–robot collaboration (HRC) and energy-efficient operations. His work addresses critical challenges in modern welding shops, where the integration of human workers and robots must be optimized to boost productivity while reducing energy consumption. In his highly cited 2023 paper (103 citations), Yin pioneered the study of human–robot collaborative scheduling in energy-efficient welding environments, filling a gap in the literature. He further advanced the field with a 2024 self-learning memetic algorithm for distributed mixed fuzzy welding shops, tackling the complexities of globalized, human-centric, and sustainable manufacturing—core tenets of Industry 5.0. His contributions demonstrate how adaptive algorithms can balance efficiency, resilience, and worker well-being. With over 100 citations on his most influential work, Yin’s research is shaping the future of smart factories, offering practical solutions for real-world distributed systems. His achievements highlight a commitment to both theoretical innovation and industrial applicability, making him a key figure in the evolution of collaborative and green manufacturing.