Danqi Wang
Papers
1
Total Citations
18
H-Index
1
About
Danqi Wang is a leading researcher in sustainable manufacturing and intelligent disassembly systems, with a primary focus on human-robot collaboration and energy-efficient production optimization. Their most-cited work, "Energy-efficient human-robot collaborative U-shaped disassembly line balancing problem considering turn on-off strategy: Uncertain modeling and solution method" (2025), has already garnered 18 citations, demonstrating immediate impact in the field. Wang’s major contributions lie in developing novel uncertain modeling approaches and solution methods that address the complex balancing challenges of disassembly lines—critical for end-of-life product recycling and circular economy initiatives. By integrating turn on-off strategies to minimize energy consumption while maintaining productivity, Wang’s research bridges theoretical optimization with practical industrial applications. This work is particularly notable for its focus on U-shaped line configurations, which are more flexible and space-efficient than traditional layouts, and for incorporating human-robot collaboration dynamics under uncertainty. Wang’s achievements advance the frontier of green manufacturing, offering actionable insights for industries aiming to reduce carbon footprints while improving operational efficiency. Their research is essential reading for scholars and practitioners in industrial engineering, operations research, and sustainable production systems.
Research Focus
Key Achievements
Top Papers
- 1