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About

Yen-Liang Pan is a leading researcher in the field of industrial automation, specializing in deadlock prevention and liveness-enforcing supervision for flexible manufacturing systems (FMS). His work is critical to Industry 4.0, where intelligent robots and shared resources create complex competition that can lead to system deadlocks. Pan’s major contributions include the development of computationally efficient, maximally permissive deadlock prevention policies using Petri nets and control transitions. His most cited paper, "One Computational Innovation Transition-Based Recovery Policy for Flexible Manufacturing Systems Using Petri nets" (2020, 25 citations), proposes a novel recovery mechanism to resolve deadlocks without sacrificing system flexibility. Another highly cited work, "Maximally permissive deadlock prevention policies for flexible manufacturing systems using control transition" (2018, 25 citations), offers a solution that maximizes resource utilization while ensuring liveness. Pan has also advanced computational efficiency in seeking liveness-enforcing supervisors, as seen in his 2020 paper (10 citations). His research directly addresses the practical challenges of smart factories, providing scalable, real-time solutions for robot coordination and resource allocation. With a focus on both theoretical rigor and industrial applicability, Pan’s work is essential reading for researchers in automation, Petri nets, and manufacturing systems engineering.