Papers

2

Total Citations

10

H-Index

2

About

Jin Hui is a researcher specializing in medical logistics robotics, with a focus on optimizing path planning and operational efficiency for automated drug dispensing systems. Their major contributions lie in developing novel mathematical models that address the time-cost constraints inherent in fast medicine dispensing systems (FMDS). In their most-cited work (2021, 7 citations), Hui introduced a two-step optimization procedure that significantly reduces refill time by reframing path planning as a time-cost minimization problem. A subsequent study (2021, 3 citations) further advanced this field by modeling FMDS replenishment as a hybrid of traveling salesman problems and vehicle routing problems, overcoming the limitations of traditional order picking models. These contributions have direct implications for healthcare automation, enabling faster and more reliable medication delivery in clinical settings. Hui’s work bridges operations research and robotics, demonstrating how combinatorial optimization can enhance real-world logistics. Their research is particularly notable for its practical application in hospital pharmacies, where efficiency gains translate to improved patient care. With a growing citation record, Hui is establishing a reputation for solving complex logistical challenges in medical robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
New Method of Path Optimization for Medical Logistics Robots
7 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Chongqing Science and Technology Commission

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago