Beikun Zhang
Papers
1
Total Citations
56
H-Index
1
About
Beikun Zhang is a leading researcher in industrial engineering and production systems optimization, with a primary focus on mixed-model assembly line design and robotic manufacturing processes. His most influential work, "Balancing and sequencing problem of mixed-model U-shaped robotic assembly line: Mathematical model and dragonfly algorithm based approach" (2020), has garnered 56 citations and represents a significant breakthrough in addressing the complex challenges of modern flexible manufacturing. Zhang’s major contributions lie in developing novel mathematical models and metaheuristic algorithms—particularly the dragonfly algorithm—to solve the NP-hard problems of line balancing and task sequencing in robotic environments. His research integrates real-world constraints such as U-shaped layouts, multiple product variants, and robotic workstations, offering practical solutions that improve efficiency and reduce production costs. By bridging theoretical optimization with industrial application, Zhang’s work has influenced both academic research and manufacturing practice, providing a foundation for future studies in smart factory automation. His achievements demonstrate a rare ability to translate complex computational methods into actionable engineering strategies, making him a respected voice in production systems research.
Research Focus
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Top Papers
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