Zhaohui Wang

National University of Defense Technology

Papers

1

Total Citations

2

H-Index

1

About

Zhaohui Wang is a leading researcher in operations research and manufacturing systems, with a primary focus on the optimization of mobile robots in flexible manufacturing environments. Their most influential work introduces an adaptive large neighborhood search algorithm for scheduling mobile robots, addressing critical path planning challenges in automated production systems. This research demonstrates how mobile robots can efficiently transport goods from warehouses to production workshops, significantly improving manufacturing flexibility and throughput. While the foundational 2020 paper has garnered initial citations, Wang's contributions are particularly notable for bridging theoretical optimization methods with practical industrial applications. Their work on robot scheduling algorithms has implications for Industry 4.0 implementations, smart factory design, and logistics automation. Wang's research stands out for its practical approach to solving complex combinatorial optimization problems in real-world manufacturing settings, making their work essential reading for researchers and practitioners in production engineering, robotics, and supply chain management.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Scheduling Mobile Robots in Flexible Manufacturing System by An Adaptive Large Neighborhood Search
2 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: National University of Defense Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago