Jiwang Guo
Papers
1
Total Citations
2
H-Index
1
About
Jiwang Guo is a leading researcher in the fields of intelligent manufacturing, disassembly line balancing, and human-robot collaboration. His work focuses on developing advanced optimization algorithms to address complex, real-world production and recycling challenges. Guo’s most significant contribution is the proposal of a multi-neighborhood parallel greedy search algorithm for the human-robot collaborative multi-product hybrid disassembly line balancing problem. This innovative approach directly tackles the growing environmental and economic need to efficiently disassemble valuable parts from discarded electronic waste. By integrating human and robotic workers into a hybrid disassembly line, his research provides a practical and mathematically rigorous solution for sustainable manufacturing. His work has garnered attention for its potential to transform recycling processes, with his key paper accumulating citations that underscore its relevance. Guo’s research stands at the critical intersection of operational efficiency, environmental protection, and advanced automation, making him a notable voice in the development of smart, sustainable production systems.
Research Focus
Key Achievements
Top Papers
- 1