Soung‐Yue Liew

Papers

Total Citations

H-Index

About

Soung‐Yue Liew is a researcher focused on advancing automation and operational efficiency in logistics and warehousing through intelligent control systems and scheduling algorithms. Her key research areas include multi-agent robotics, automated retrieval systems, and optimization for smart warehouses. Liew’s major contributions center on developing practical frameworks that address real-world bottlenecks in parcel sorting and order fulfillment. Notably, her work on an efficient multi-AMR (autonomous mobile robot) control framework for parcel sorting centers, published in 2020, proposes a solution to the pressing need for robust, high-speed logistics driven by the growth of eCommerce. This paper has garnered 3 citations, reflecting its relevance to industry challenges. Additionally, her research on order-based scheduling algorithms for automated retrieval systems (ARS) in smart warehouses, also from 2020, integrates artificial intelligence and robotics to streamline product retrieval, earning 2 citations. While her citation counts are early in her career, Liew’s work demonstrates a clear, applied focus on solving tangible problems in modern supply chains, making her a promising voice in the field of intelligent warehouse automation.