Xiaohui Li
Papers
2
Total Citations
19
H-Index
2
About
Xiaohui Li is a researcher focused on advancing manufacturing efficiency through the application of metaheuristic optimization, with a particular emphasis on robotic cell scheduling. Their primary research areas include multi-objective job shop scheduling, time-constrained production planning, and the integration of robotics in automated manufacturing environments. Li’s major contributions lie in developing sophisticated metaheuristic algorithms to solve complex scheduling problems that account for both operational constraints and multiple conflicting objectives, such as minimizing total weighted earliness and tardiness while optimizing robot transportation logistics. Their most cited work, “Metaheuristic for Solving Multi-Objective Job Shop Scheduling Problem in a Robotic Cell” (2020), has garnered 17 citations, establishing a foundation for further research in this niche. Additionally, their 2019 paper on robotic cell scheduling with time window constraints demonstrates a continued commitment to addressing real-world manufacturing challenges. Through these contributions, Li has provided valuable frameworks for optimizing production workflows, making their research particularly relevant for students and engineers interested in the intersection of operations research, robotics, and industrial automation.
Research Focus
Key Achievements
Top Papers
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- 2