Ching-Yun Tseng
Papers
2
Total Citations
12
H-Index
2
About
Ching-Yun Tseng is a researcher specializing in the control and optimization of flexible manufacturing systems (FMSs), with a particular focus on deadlock prevention in Industry 4.0 environments. Her work addresses the critical challenge of managing smart robots and shared resources in advanced manufacturing, where concurrent job processes can lead to system deadlocks that halt production. Tseng’s major contributions include developing computationally efficient deadlock prevention supervisors, notably through the application of MFFP (Maximally Permissive Feedback Prevention) technology, which enhances system liveness without sacrificing performance. Her 2020 paper on improving computational efficiency in seeking liveness-enforcing supervisors for FMSs with deadlock states has garnered 10 citations, reflecting its relevance to the field. Additionally, her 2015 work on computationally improved deadlock prevention using MFFP technology, though with 2 citations, laid foundational insights for subsequent advancements. Tseng’s research is pivotal for enabling robust, deadlock-free automation in smart manufacturing, offering practical solutions for industries leveraging intelligent workstations and robotics. Her contributions underscore the importance of efficient resource allocation and control in modern production systems.
Research Focus
Key Achievements
Top Papers
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- 2