Jaeyoung Cho

Papers

Total Citations

H-Index

About

Jaeyoung Cho is a forward-thinking researcher in industrial engineering and smart manufacturing, whose work focuses on optimizing production systems through computational intelligence. His primary research areas include smart factory design, logistics optimization, and the application of metaheuristic algorithms to complex industrial problems. Cho’s most notable contribution is his 2023 study, "Minimization of path lengths for materials and workers in smart factories using particle swarm optimization algorithm," which has garnered 4 citations. In this work, he developed a novel approach to reducing travel distances for both materials and human operators within automated manufacturing environments, leveraging particle swarm optimization to enhance efficiency and reduce operational costs. This research addresses a critical bottleneck in Industry 4.0 implementations—balancing automation with human-centric workflows. Cho’s work is particularly impactful for practitioners seeking to minimize waste and improve throughput in smart factories, offering a scalable solution that integrates real-time data with optimization techniques. His achievements highlight a commitment to bridging theoretical algorithms with practical industrial applications, making him a valuable contributor to the evolving field of intelligent manufacturing systems.