Pengcheng Yang
Papers
1
Total Citations
10
H-Index
1
About
Pengcheng Yang is a researcher specializing in logistics automation and intelligent warehouse systems, with a particular focus on robotic mobile fulfilment systems (RMFS). His key research areas include simulation modeling, cellular automata, and operational optimization for automated material handling. Yang’s major contribution is the development of the Simulation Framework of RMFS based on Cellular Automata (SFRMFSCA), which overcomes the limitations of traditional simulation platforms that impose fixed, one-way directional road networks. This framework enables more flexible and realistic analysis of picking performance in robotic warehouses, allowing for dynamic traffic flow and improved system efficiency. His most-cited work, "Simulation Analysis of Robotic Mobile Fulfilment System Based on Cellular Automata" (2021), has garnered 10 citations, reflecting its relevance in the growing field of warehouse automation. Yang’s research provides a foundational tool for engineers and researchers seeking to design and evaluate next-generation fulfilment centers, contributing to the broader adoption of autonomous mobile robots in logistics.
Research Focus
Key Achievements
Top Papers
- 1