Yanda Shen
Papers
1
Total Citations
8
H-Index
1
About
Yanda Shen is a rising researcher in sustainable manufacturing and intelligent automation, with a primary focus on human–robot collaboration and disassembly-line optimization. Their most-cited work, “Human–Robot Collaboration on a Disassembly-Line Balancing Problem with an Advanced Multiobjective Discrete Bees Algorithm” (2024, 8 citations), addresses a critical bottleneck in end-of-life product recycling: the efficient and balanced allocation of tasks between human workers and robots. By developing a novel multiobjective discrete bees algorithm, Shen provides a computational framework that simultaneously minimizes cycle time, energy consumption, and ergonomic risk—offering a practical path toward more sustainable, automated disassembly systems. This contribution is particularly timely given growing global emphasis on circular economies and resource recovery. Though early in their career, Shen’s work has already attracted attention for bridging real-world industrial constraints with advanced metaheuristic optimization. Their research stands at the intersection of operations research, robotics, and green manufacturing, promising significant impact as industries increasingly adopt collaborative automation for sustainable production. Shen’s approach exemplifies how algorithmic innovation can directly support environmental and economic goals in modern manufacturing.
Research Focus
Key Achievements
Top Papers
- 1