Papers
12
Total Citations
462
H-Index
11
About
Yu Zhang is a prominent researcher specializing in disassembly line balancing, human-robot collaboration, and remanufacturing optimization. His work sits at the intersection of industrial engineering, robotics, and sustainable manufacturing, with a particular focus on developing mathematical models and intelligent algorithms to enhance the efficiency and environmental performance of end-of-life product disassembly systems. Zhang's most influential contributions include pioneering mixed-integer programming frameworks and hybrid metaheuristic algorithms for complex disassembly line balancing problems. His 2021 paper on multi-product partial disassembly with multi-robot workstations (102 citations) established a foundational approach in the field, while his subsequent work on human-robot collaborative disassembly (90 citations) advanced the integration of workforce and automation in remanufacturing environments. Notably, he has tackled real-world complexities including waste battery module disassembly, two-sided line configurations, noise pollution constraints, and preventive maintenance scheduling. With a cumulative citation count exceeding 440 across his top publications, Zhang has demonstrated sustained and growing influence. His research consistently addresses both techno-economic optimization and environmental sustainability, making meaningful contributions to green manufacturing and the circular economy. His body of work serves as essential reading for engineers and researchers advancing intelligent, eco-conscious remanufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10