Li Yan

Papers

Total Citations

H-Index

About

Li Yan is a researcher focused on intelligent manufacturing and logistics automation, with key contributions in mobile robot path planning and multi-load AGV scheduling. Their work addresses critical challenges in smart factory environments, where efficient material handling directly impacts production time and costs. In their 2022 study on path planning for mobile robots, Li Yan applied ant colony algorithms to optimize navigation in intelligent workshops, laying groundwork for reducing handling delays. Building on this, their 2023 research introduced an improved genetic algorithm to tackle multi-load AGV scheduling in automotive manufacturing, specifically targeting the inefficiencies of manual forklift systems for large parts. This work offers practical solutions for transitioning to intelligent logistics, reducing workload and handling times. While each paper has garnered 2 citations, indicating early-stage recognition, the research addresses industry-relevant problems with clear potential for broader adoption. Li Yan’s contributions are particularly valuable for students and researchers exploring optimization algorithms in industrial automation, bridging theoretical methods with real-world manufacturing constraints.