Zhiqun Kan

Papers

Total Citations

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About

Dr. Zhiqun Kan is a leading researcher in smart manufacturing and industrial automation, with a primary focus on the integration of Industry 4.0 technologies into production systems. His most cited work, "Modeling and Optimization for Automobile Mixed Assembly Line in Industry 4.0" (2019, 26 citations), addresses the critical challenge of digitizing and intellectualizing traditional manufacturing. In this study, Kan develops optimization models for mixed-flow assembly lines, where production equipment, robots, conveyors, and logistics systems are networked into a cohesive smart factory. His contributions provide practical frameworks for improving efficiency and flexibility in complex manufacturing environments, particularly in the automotive sector. By bridging theoretical modeling with real-world industrial applications, Kan’s research supports the transition toward fully automated, data-driven production. His work is highly relevant for engineers and researchers seeking to implement cyber-physical systems in assembly line optimization. With a growing citation record, Dr. Kan continues to influence the advancement of intelligent manufacturing and smart factory design.