Binghai Zhou

Tongji University

Papers

1

Total Citations

30

H-Index

1

About

Binghai Zhou is a researcher whose work sits at the intersection of intelligent optimization, sustainable manufacturing, and industrial engineering. His research focuses on applying advanced metaheuristic algorithms to complex real-world manufacturing challenges, with a particular emphasis on disassembly line balancing problems — a critical concern in modern circular economy and end-of-life product management. His most notable contribution, a 2022 study introducing a multi-mechanism-based modified bi-objective Harris Hawks Optimization algorithm, demonstrates his innovative approach to enhancing nature-inspired computational methods for solving multi-objective engineering problems. This work tackles the sustainable robotic disassembly line balancing problem, addressing both economic efficiency and environmental considerations simultaneously — a reflection of growing industrial demands for greener manufacturing practices. The paper has accumulated 30 citations since its publication, signaling meaningful uptake within the operations research and sustainable manufacturing communities. Zhou's research is particularly valuable for engineers and scholars seeking robust, adaptive optimization frameworks that can handle the combinatorial complexity inherent in modern automated disassembly systems, making him a notable contributor to the evolving field of sustainable intelligent manufacturing.

Research Focus

Key Achievements

1
H-Index
1
Papers
30
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
Multi-mechanism-based modified bi-objective Harris Hawks optimization for sustainable robotic disassembly line balancing problems
30 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Tongji University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago