Hongkai Wei
Papers
1
Total Citations
8
H-Index
1
About
Hongkai Wei is a leading researcher in sustainable manufacturing and intelligent automation, with a primary focus on optimizing robotic disassembly systems for circular economies. His most cited work, "Minimizing Energy Consumption and Line Length of Mixed-Model Multi-Robotic Disassembly Line Systems Using Multi-Objective Evolutionary Optimization" (2019), tackles the critical challenge of balancing environmental and economic efficiency in end-of-life product processing. Wei pioneered the use of multi-objective evolutionary algorithms to simultaneously reduce carbon emissions and streamline line configurations in complex, mixed-model robotic environments. This research directly addresses the growing need for low-carbon industrial automation, demonstrating how robotics can safely dismantle products while minimizing energy waste and operational costs. With 8 citations, his work has influenced subsequent studies in green manufacturing and disassembly line balancing. Wei's contributions are particularly notable for bridging the gap between theoretical optimization and practical implementation, offering manufacturers actionable frameworks to enhance sustainability without sacrificing productivity. His ongoing research continues to advance the integration of energy-aware robotics into mainstream production systems.
Research Focus
Key Achievements
Top Papers
- 1