Shujuan Yun
Papers
1
Total Citations
8
H-Index
1
About
Shujuan Yun is a leading researcher in smart manufacturing and Industry 4.0, with a focused expertise in the development and application of digital twin technology for automated material handling systems (AMHSs). Her most-cited work, a 2021 study with 8 citations, pioneers the use of digital twins to design, verify, and manage AMHSs—critical infrastructure for modern unmanned factories. By integrating real-time simulation and operational data, Yun’s contributions enable manufacturers to optimize efficiency, reduce downtime, and validate system performance before physical deployment. This work addresses a key challenge in the transition to smart factories, where automated systems must be both reliable and adaptive. Her research has practical implications for industries ranging from semiconductor fabrication to logistics, helping companies achieve higher productivity through digital transformation. Yun’s achievements highlight her role as an innovator at the intersection of simulation, automation, and industrial engineering, offering actionable solutions for the factories of tomorrow.
Research Focus
Key Achievements
Top Papers
- 1