Xin Tang
Papers
1
Total Citations
14
H-Index
1
About
Xin Tang is a leading researcher in the modeling, scheduling, and control of automated semiconductor manufacturing systems, with a particular focus on cluster tools. His work addresses critical challenges in wafer fabrication, especially concerning time-constrained processes and robot-arm coordination. Tang’s major contribution lies in developing rigorous analytical frameworks for the residency time analysis of single-robot-arm cluster tools under activity time variation. His 2019 paper, which has garnered 14 citations, established necessary and sufficient conditions for the existence of feasible cyclic schedules when activity times are no longer deterministic—a significant step beyond prior work that assumed fixed timings. This research directly impacts the efficiency and reliability of high-precision manufacturing. Tang’s work is notable for bridging the gap between theoretical scheduling theory and real-world industrial constraints, offering practical solutions for minimizing wafer residency violations. His contributions are essential reading for researchers and engineers in semiconductor automation, providing foundational insights for designing more robust and adaptive manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1