Papers
4
Total Citations
39
H-Index
4
About
Zailin Guan is a leading researcher in manufacturing systems engineering, focusing on the design, balancing, and optimization of automated flexible production and warehousing systems. His major contributions lie in developing novel mathematical models and heuristic algorithms for complex industrial problems, particularly the automated flexible transfer line (AFTL) and automated flexible machining line (AFML). Guan’s work addresses critical challenges in reconfigurability, reliability, and efficiency under uncertainty, introducing scenario-based robust dominance criteria for multi-objective optimization. His most cited paper (2019, 17 citations) tackles the sequential and reconfigurable stage design of flexible transfer lines, while his set-partitioning-based heuristic (2018, 8 citations) provides practical solutions for balancing machining lines. In 2024, Guan extended his expertise to warehousing, proposing a novel parts-to-picker system with buffer and access racks to enhance storage capacity and throughput. With a growing citation record, Guan’s research bridges theoretical optimization and real-world manufacturing and logistics, offering valuable tools for engineers and researchers aiming to improve system flexibility and productivity.
Research Focus
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