Young‐Jun Son

University of Arizona

Papers

2

Total Citations

38

H-Index

2

About

Young‑Jun Son is a leading researcher in systems and industrial engineering, with core expertise in simulation‑based optimization, manufacturing planning and control, and decision support for agricultural systems. His work bridges advanced computational modeling with real‑world operational challenges, enabling more resilient and efficient production environments. Among his notable contributions is a scenario‑based cost analysis for vegetable grafting nurseries (2014, 27 citations), which provided a critical tool for evaluating capital investments in emerging grafting technologies—helping growers improve yields while reducing environmental impact. He also developed a service‑oriented simulation integration platform for hierarchical manufacturing planning and control (2016, 11 citations), a pioneering framework that seamlessly integrates hardware and software across supply chain members, from equipment to enterprise systems. This platform advances the vision of smart, interconnected manufacturing. Son’s research is widely recognized for its practical relevance and methodological rigor, influencing both academic theory and industrial practice. His work continues to shape how complex systems are modeled, simulated, and optimized for better decision‑making.

Research Focus

Key Achievements

2
H-Index
2
Papers
38
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Scenario-based Cost Analysis for Vegetable Grafting Nurseries of Different Technologies and Sizes
27 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Arizona

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago