Mingzhi Yang
Papers
1
Total Citations
18
H-Index
1
About
Mingzhi Yang is a leading researcher in sustainable manufacturing and intelligent disassembly systems, with a primary focus on human-robot collaboration and energy optimization in production environments. His most cited work, "Energy-efficient human-robot collaborative U-shaped disassembly line balancing problem considering turn on-off strategy: Uncertain modeling and solution method" (2025, 18 citations), introduces a novel framework that integrates turn on-off strategies to minimize energy consumption while balancing disassembly tasks between humans and robots under uncertainty. This contribution is pivotal for advancing circular economy practices, as it addresses the critical challenge of making end-of-life product recycling both economically viable and environmentally friendly. Yang’s research stands out for its innovative combination of mathematical modeling, uncertainty handling, and practical heuristic solutions, offering a blueprint for next-generation smart factories. His work has already garnered attention from peers in operations research and industrial engineering, and it is poised to influence both academic theory and real-world disassembly line design. Through this research, Yang demonstrates a commitment to bridging the gap between theoretical optimization and sustainable industrial practice.
Research Focus
Key Achievements
Top Papers
- 1