Yipei Zhang
Papers
1
Total Citations
3
H-Index
1
About
Yipei Zhang is a researcher in industrial engineering and operations research, with a primary focus on sustainable manufacturing systems, energy-efficient scheduling, and robotic cell optimization. Their most cited work, "Bi-objective speed-scaling robotic cell scheduling with peak power consumption constraint" (2023), addresses a critical challenge in modern production: balancing cycle time with energy usage. Zhang developed a bi-objective mixed integer programming model that simultaneously minimizes both performance metrics, offering a novel strategy for reducing peak power demand without sacrificing throughput. This contribution is particularly relevant for industries seeking to comply with energy regulations while maintaining productivity. Though early in their career, Zhang’s work has already garnered attention, with the paper accumulating 3 citations and laying groundwork for future studies in green manufacturing and smart factory scheduling. Their research bridges theoretical optimization and practical industrial constraints, making it valuable for students and practitioners interested in sustainable operations, production planning, and the integration of energy-aware decision-making into automated systems.
Research Focus
Key Achievements
Top Papers
- 1