Lap Mui Ann Chan
Papers
2
Total Citations
26
H-Index
2
About
Lap Mui Ann Chan is a researcher focused on the optimization of manufacturing systems, particularly in the domain of robotic cell scheduling. Her major contributions center on developing approximation methods for cyclic scheduling in bufferless robotic cells, where robots with either single or dual grippers handle identical parts. Her work addresses the fundamental challenge of minimizing the long-run average production time—or equivalently, maximizing throughput—by identifying near-optimal sequences of robot moves. Her most cited paper, "Approximations to Optimal k-Unit Cycles for Single-Gripper and Dual-Gripper Robotic Cells" (2008), has garnered 24 citations, underscoring its relevance to both theoretical and applied operations research. This research is notable for providing practical approximations that bridge the gap between complex optimal solutions and real-world implementation constraints. Chan’s findings are particularly valuable for industries relying on automated manufacturing, where even small improvements in cycle time can yield significant productivity gains. Her work exemplifies the intersection of combinatorial optimization and robotics, offering tools that help engineers design more efficient production lines.
Research Focus
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Top Papers
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