Papers
2
Total Citations
31
H-Index
2
About
Gendao Li is a researcher focused on intelligent manufacturing and production systems optimization, with particular expertise in automated material handling and assembly line efficiency. Their major contributions lie in developing integrated scheduling frameworks that coordinate automated mobile robots (AMRs) with flexible job shop operations, addressing the critical challenge of dispatching strategy and conflict-free routing simultaneously. This work, published in 2022 and garnering 28 citations, provides a practical solution for real-time coordination in smart factories. Li has also advanced sustainable manufacturing by investigating joint balancing and sequencing optimization for type-II robotic mixed-model assembly lines, incorporating energy consumption as a key performance metric. Their 2025 paper on this topic demonstrates a commitment to green manufacturing principles. Li’s research bridges the gap between theoretical optimization models and industrial implementation, offering actionable insights for reducing production costs and energy usage. Their work is particularly valuable for students and researchers exploring Industry 4.0 technologies, autonomous logistics, and eco-friendly production systems.
Research Focus
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Top Papers
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