Chee-Henn Ch'ng

Papers

Total Citations

H-Index

About

Chee-Henn Ch’ng is a researcher focused on advancing automation and control systems in logistics and industrial engineering. Their key research areas include multi-agent robotic control, parcel sorting optimization, and intelligent automation frameworks for eCommerce supply chains. Ch’ng’s most notable contribution is the development of an efficient multi-AMR (Autonomous Mobile Robot) control framework for parcel sorting centers, published in 2020. This work addresses the critical challenge of sorting large volumes of parcels quickly and accurately, a pressing need driven by the explosive growth of online shopping. By proposing a coordinated control strategy for multiple AMRs, Ch’ng’s framework enhances throughput and reduces bottlenecks in sorting operations, offering a scalable solution for modern logistics hubs. Although the paper has garnered 3 citations to date, its practical relevance to industry and potential for real-world deployment highlights its significance. Ch’ng’s work bridges the gap between theoretical control systems and applied logistics, making it a valuable reference for researchers and engineers seeking to automate and optimize parcel distribution centers.