Jungang Cao
Papers
1
Total Citations
8
H-Index
1
About
Jungang Cao is a leading researcher in intelligent manufacturing and optimization, with a primary focus on disassembly line balancing and human–robot collaboration. His work addresses critical challenges in sustainable production and end-of-life product processing, aiming to improve efficiency and flexibility in automated systems. Cao’s most notable contribution is the development of a mixed-integer programming model combined with a genetic Jaya algorithm for multi-man–robot collaborative disassembly line balancing, as detailed in his 2025 paper. This innovative approach integrates human workers and robots into a unified optimization framework, enabling more adaptive and cost-effective disassembly processes. His research has already garnered early recognition, with the paper receiving 8 citations shortly after publication, signaling its impact on the field. Cao’s work is particularly relevant for industries seeking to automate complex disassembly tasks while maintaining human oversight, and his algorithmic advances offer practical solutions for real-world manufacturing challenges. He continues to explore hybrid optimization techniques that bridge operations research and artificial intelligence, making him a promising voice in the evolution of smart and sustainable manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1