Tianpegn Bao

Papers

Total Citations

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About

Tianpeng Bao is a researcher in semiconductor manufacturing automation, with a primary focus on the scheduling and optimization of multi-cluster tools—complex, robot-driven equipment critical to modern chip fabrication. His most-cited work, "Cyclic Scheduling of Multi-Cluster Tools Based on Mixed Integer Programming" (2017, 17 citations), addresses a key bottleneck in the industry: coordinating multiple robots across numerous processing chambers to achieve efficient, deadlock-free production cycles. By developing a mixed integer programming (MIP) framework, Bao provided a rigorous mathematical approach to a problem previously tackled through heuristics, enabling more systematic and scalable solutions. This contribution has practical implications for improving throughput and reducing cycle times in semiconductor fabs. Though early in his citation trajectory, his work is gaining recognition among researchers in discrete-event systems and manufacturing logistics. Bao’s research bridges operations research and industrial engineering, offering tools that can be extended to other automated production environments. His focus on cyclic scheduling—a core challenge in high-volume manufacturing—positions him as a rising contributor to the field of intelligent manufacturing systems.