Soongeol Kwon
Papers
2
Total Citations
16
H-Index
2
About
Soongeol Kwon is a researcher whose work sits at the intersection of healthcare operations, simulation modeling, and supply chain optimization. His primary focus is on enhancing the efficiency of robotic dispensing systems in central fill pharmacies—large-scale facilities that automate medication preparation for multiple healthcare sites. Kwon’s major contributions include developing priority-based replenishment policies that minimize workflow disruptions and reduce patient wait times. His simulation-based studies, such as the 2023 paper on priority-based replenishment (9 citations) and the 2021 analysis of replenishment processes (7 citations), provide actionable frameworks for improving robotic system performance. Though early in his citation trajectory, these works are foundational for practitioners and researchers aiming to integrate automation with lean operations in healthcare logistics. Kwon’s research bridges industrial engineering and pharmacy practice, offering data-driven solutions to real-world bottlenecks. His work is particularly notable for its practical applicability, directly informing the design of smarter, more responsive pharmacy supply chains.
Research Focus
Key Achievements
Top Papers
- 1
- 2