Yumin He

Beihang University

Papers

4

Total Citations

59

H-Index

3

About

Yumin He is a researcher specializing in flexible manufacturing systems, robotics scheduling, and mass customization — areas at the intersection of industrial engineering and intelligent automation. His work addresses one of modern manufacturing's most pressing challenges: how to efficiently sequence parts and schedule robotic handlers to meet diverse customer demands while maintaining competitive delivery times and quality standards. He is perhaps best known for his 2016 paper on robot and machine scheduling with state-dependent part input sequencing, which garnered 30 citations and offered valuable insights into optimizing flexible manufacturing systems under real-world competitive pressures. His earlier 2010 contribution on robotic material handler scheduling — cited 17 times — established foundational approaches for mass customization environments, demonstrating his sustained focus on practical manufacturing intelligence. He has continued advancing this research agenda through mathematical modeling and algorithmic development, as evidenced by his 2021 work on simultaneous part input sequencing and robot scheduling. His most recent 2024 publication explores dynamic workload balancing, reflecting an evolution toward integrated, adaptive decision-making frameworks. Across his career, He's research consistently bridges theoretical optimization with the operational realities of contemporary manufacturing, making his contributions valuable to both academic researchers and industry practitioners seeking smarter, more responsive production systems.

Research Focus

Key Achievements

3
H-Index
4
Papers
59
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Robot and machine scheduling with state-dependent part input sequencing in flexible manufacturing systems
30 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Beihang University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago