Zerlinda Tan
Papers
1
Total Citations
27
H-Index
1
About
Zerlinda Tan is a distinguished researcher in operations research and manufacturing systems engineering, with a primary focus on the scheduling and optimization of semiconductor fabrication processes. Her most-cited work, "An improved formulation for scheduling an automated wet-etch station" (2004), has garnered 27 citations, establishing a foundational contribution to the efficient management of complex, resource-constrained production environments. Tan’s research addresses critical challenges in automated manufacturing, particularly the sequencing and timing of operations to minimize delays and maximize throughput. By developing advanced mathematical models and algorithmic solutions, she has provided practical frameworks that enhance the performance of wet-etch stations—a bottleneck in many semiconductor fabs. Her work is notable for bridging theoretical optimization with real-world industrial constraints, offering insights that have influenced both academic research and applied practices in manufacturing scheduling. Tan’s contributions continue to be referenced by scholars and engineers seeking to improve automation and efficiency in high-tech production systems.
Research Focus
Key Achievements
Top Papers
- 1An improved formulation for scheduling an automated wet-etch station27 citations · 2004