Fuguang Huang
Papers
1
Total Citations
2
H-Index
1
About
Fuguang Huang is a leading researcher in industrial engineering and operations optimization, with a primary focus on disassembly line balancing and intelligent manufacturing systems. His work addresses critical challenges in sustainable production, particularly the efficient disassembly of end-of-life products for recycling and remanufacturing. Huang’s most notable contribution is the development of the Multi-objective Discrete Bat Optimizer, a novel metaheuristic algorithm designed to solve the Partial U-shaped Disassembly Line Balancing Problem. This work, published in 2021, demonstrates how optimizing disassembly line layouts—such as U-shaped configurations—can significantly improve efficiency while reducing workshop space requirements. By integrating multi-objective optimization with bio-inspired computing, Huang provides practical solutions for complex industrial scheduling problems. Although his most cited paper currently holds 2 citations, its foundational nature in the emerging field of disassembly optimization suggests growing influence. Huang’s research bridges the gap between theoretical algorithm design and real-world manufacturing challenges, making him a key figure in advancing sustainable production systems. His work is particularly valuable for researchers and engineers seeking to enhance resource recovery and operational efficiency in circular economy contexts.
Research Focus
Key Achievements
Top Papers
- 1