Papers
5
Total Citations
61
H-Index
4
About
Chao‐Ton Su is a leading researcher in manufacturing optimization, with a focus on robotics assembly and display technology. His work has significantly advanced the efficiency of automated production systems. Su’s most influential contributions center on the development of heuristic algorithms—including simulated annealing and tabu search—to solve complex routing and sequencing problems in dynamic robotics assembly. His 1998 paper on a simulated annealing heuristic for the dynamic pick-and-place model, along with a 2000 study comparing search techniques for minimizing assembly time in printed wiring assembly, each garnered 21 citations, establishing foundational methods for reducing cycle times in automated manufacturing. Su also introduced a novel tabu search approach to optimize placement sequences and magazine assignments, a key advancement over traditional traveling salesman problem methods. In the display industry, he applied optimization to yield mapping for liquid crystal displays, notably addressing post-mapping yield control for low-temperature polysilicon TFT LCDs. His work bridges theoretical optimization and practical manufacturing challenges, offering robust solutions that continue to inform research in robotics and electronics assembly.
Research Focus
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