Xingyang Li

Papers

Total Citations

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About

Xingyang Li is a leading researcher in intelligent manufacturing and production logistics, with a core focus on the integrated optimization of multi-robot transport systems and job shop scheduling. His work bridges the gap between production planning and automated material handling, addressing critical bottlenecks in smart factories. Li’s most influential paper, “Multi-Mobile-Robot Transport and Production Integrated System Optimization” (2024), has garnered 35 citations for its novel framework that treats a production workshop as a hybrid system—simultaneously optimizing both manufacturing workflows and the coordination of mobile robots. This holistic approach significantly improves throughput and resource utilization. In a complementary study, “Constraint Programming for a Novel Integrated Optimization of Blocking Job Shop Scheduling and Variable-Speed Transfer Robot Assignment” (2022), Li tackles the challenging blocking job shop problem by integrating variable-speed robot assignments, offering a powerful solution for environments with machine blocking constraints. His work is notable for advancing constraint programming techniques in industrial scheduling, providing both theoretical models and practical algorithms. Xingyang Li’s research is essential reading for engineers and researchers seeking to enhance efficiency in automated, robot-driven production environments.