Papers

2

Total Citations

30

H-Index

2

About

Tang Xiao-wo has made significant contributions to the field of manufacturing systems engineering, with a primary focus on robotic cell scheduling and rescheduling optimization. His research addresses the complex challenges of material handling in computer-controlled robotic cells, where processing times are flexible within given time windows. His most cited work, "Two-phase branch and bound algorithm for robotic cells rescheduling considering limited disturbance" (2014, 27 citations), introduces a novel algorithmic approach that balances production efficiency with operational stability, minimizing disruptions in dynamic manufacturing environments. Additionally, his earlier study on "Cyclic robotic cells scheduling using tabu search algorithm" (2012) explores metaheuristic solutions for cyclic scheduling problems, laying groundwork for adaptive scheduling strategies. Through these contributions, Tang has advanced the theoretical understanding of scheduling under uncertainty while providing practical tools for industry. His work is particularly notable for addressing the trade-off between optimization and disturbance management, a critical issue in modern flexible manufacturing systems. With a growing citation impact, Tang Xiao-wo continues to influence research in production planning and intelligent manufacturing.

Research Focus

Key Achievements

2
H-Index
2
Papers
30
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Two-phase branch and bound algorithm for robotic cells rescheduling considering limited disturbance
27 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Electronic Science and Technology of China

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago