Zhexin Zhu
Papers
1
Total Citations
19
H-Index
1
About
Zhexin Zhu is a researcher in industrial engineering and smart manufacturing, with a focus on optimization of logistics and assembly systems. His work centers on integrating robotic mobile fulfillment systems (RMFS) into mixed-model assembly lines, addressing complex scheduling and part-feeding challenges. Zhu’s key contributions lie in developing multi-objective optimization models that balance efficiency, cost, and environmental sustainability—a critical need for modern, green manufacturing. His most-cited paper, "Multi-objective optimization of greening scheduling problems of part feeding for mixed model assembly lines based on the robotic mobile fulfillment system" (2021), has garnered 19 citations, reflecting its relevance to both academia and industry. This work introduces novel algorithms that reduce energy consumption and improve throughput in automated warehouses and assembly environments. Zhu’s research is particularly notable for bridging the gap between theoretical optimization and practical implementation, offering actionable solutions for factories transitioning to Industry 4.0. His achievements underscore a commitment to sustainable, data-driven production systems, making his work essential reading for students and researchers in operations research, logistics, and manufacturing engineering.
Research Focus
Key Achievements
Top Papers
- 1