Yuxun Zhang
Papers
1
Total Citations
5
H-Index
1
About
Yuxun Zhang is a rising scholar in sustainable manufacturing and operations research, whose work focuses on the optimization of disassembly systems for end-of-life product recovery. His most-cited paper, "Unified Modeling and Multi-Objective Optimization for Disassembly Line Balancing with Distinct Station Configurations" (2024, 5 citations), addresses a critical bottleneck in recycling and remanufacturing: the efficient balancing of disassembly lines. Zhang’s key contribution is a unified mathematical model that accounts for six distinct station configurations—ranging from single-manned to multi-manned setups—enabling factories to flexibly assign operators and maximize throughput while minimizing costs and environmental impact. By integrating multi-objective optimization techniques, his research provides practical, data-driven solutions for industries transitioning to circular economy models. Though early in his career, Zhang’s work has already garnered attention for its novel approach to a traditionally labor-intensive problem, bridging the gap between theoretical optimization and real-world disassembly plant operations. His findings offer a blueprint for designing more adaptive and efficient recycling lines, positioning him as a promising voice in green manufacturing and industrial sustainability.
Research Focus
Key Achievements
Top Papers
- 1