Sarah Ye
Papers
1
Total Citations
7
H-Index
1
About
Dr. Sarah Ye is a leading researcher in operations research and manufacturing systems, with a focus on dynamic scheduling and resource allocation. Her most-cited work, "Dynamic scheduling for heterogeneous resources with time windows and precedence relation" (2017), addresses critical challenges in flexible manufacturing by developing novel methods for coordinating mobile robots and human workers with varying capabilities. This paper, garnering 7 citations, introduces a framework that accounts for real-time task arrivals, time constraints, and task dependencies—a significant contribution to optimizing efficiency in complex, dynamic environments. Dr. Ye’s research bridges theoretical optimization and practical industrial applications, offering scalable solutions for smart factories and logistics. Her work is particularly notable for its emphasis on heterogeneous resources, a key factor in modern automated systems. By advancing scheduling algorithms that handle precedence relations and time windows, she has provided a foundation for further studies in adaptive manufacturing and cyber-physical systems. Dr. Ye’s contributions continue to influence researchers and engineers seeking to enhance productivity and flexibility in resource-constrained settings.
Research Focus
Key Achievements
Top Papers
- 1