Jianguang Feng
Papers
4
Total Citations
44
H-Index
3
About
Jianguang Feng is a leading researcher in the field of robotic cell scheduling, with a focus on optimizing complex manufacturing systems. His key research areas include bi-objective optimization, cyclic scheduling, and energy-efficient production, where he addresses the interplay between throughput, robot travel distance, and power consumption. Feng’s major contributions include developing tight bi-objective models for robotic cells with non-Euclidean travel times and processing time windows, as well as pioneering work on speed-scaling to minimize both cycle time and peak power consumption. His 2013 paper on bi-objective cyclic scheduling has garnered 29 citations, while his comprehensive 2024 classification of solution approaches has already attracted 10 citations, reflecting its significance as a foundational review. Notably, Feng’s research extends to considering cell layout constraints, offering practical insights for real-world manufacturing. His work is distinguished by its rigorous mathematical modeling and polynomial algorithms, making it highly influential for both academics and practitioners seeking to enhance productivity and sustainability in automated production systems.
Research Focus
Key Achievements
Top Papers
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- 4Robotic cell cyclic scheduling considering cell layout2 citations · 2013