Sarah Nurre Pinkley Data-verified
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Biography and Research Information
OverviewAI-generated summary
Sarah Nurre Pinkley's research focuses on the application of operational research and mathematical modeling to complex logistical and public health challenges. Her work includes developing stochastic scheduling and allocation models for battery swap stations and managing medical drone deliveries using Markov decision processes. Pinkley has investigated drone delivery networks for vaccine supply chains, with a case study in Niger, and has explored hybrid agent-based simulation and optimization approaches for statewide truck parking capacity. Her recent publications also address public health issues, including an analysis of COVID-19 vaccine hesitancy in the U.S. at both national and county levels. Pinkley has a publication record of 10 papers, with 150 citations and an h-index of 6. She collaborates with other researchers at the University of Arkansas at Fayetteville, including Sandra D. Ekşioğlu, Maximilian Kolter, Annabelle R. LaCrue, and Sarah Hernandez.
Metrics
- h-index: 6
- Publications: 9
- Citations: 158
Selected Publications
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An analysis of COVID-19 vaccine hesitancy in the U.S. (2024)
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Designing drone delivery networks for vaccine supply chain: a case study of Niger (2023)
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A Markov decision process approach for managing medical drone deliveries (2022)
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A Monotone Approximate Dynamic Programming Approach for the Stochastic Scheduling, Allocation, and Inventory Replenishment Problem: Applications to Drone and Electric Vehicle Battery Swap Stations (2022)
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A Hybrid Agent-Based Simulation and Optimization Approach for Statewide Truck Parking Capacity Expansion (2021)
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A stochastic scheduling, allocation, and inventory replenishment problem for battery swap stations (2021)
Collaboration Network
Top Collaborators
- A stochastic scheduling, allocation, and inventory replenishment problem for battery swap stations
- A Markov decision process approach for managing medical drone deliveries
- A Monotone Approximate Dynamic Programming Approach for the Stochastic Scheduling, Allocation, and Inventory Replenishment Problem: Applications to Drone and Electric Vehicle Battery Swap Stations
- A Hybrid Agent-Based Simulation and Optimization Approach for Statewide Truck Parking Capacity Expansion
- Drones for Medical Delivery Considering Different Demands Classes : A Markov Decision Process Approach for Managing Health Centers Dispatching Medical Products
- Designing drone delivery networks for vaccine supply chain: a case study of Niger
- An analysis of COVID-19 vaccine hesitancy in the U.S.
- An Analysis of COVID-19 Vaccine Hesitancy in the U.S. at the County Level
- Designing Drone Delivery Networks for Vaccine Supply Chain: A Case Study of Niger
- Designing drone delivery networks for vaccine supply chain: a case study of Niger
- An analysis of COVID-19 vaccine hesitancy in the U.S.
- An Analysis of COVID-19 Vaccine Hesitancy in the U.S. at the County Level
- Designing Drone Delivery Networks for Vaccine Supply Chain: A Case Study of Niger
- A Markov decision process approach for managing medical drone deliveries
- A Markov Decision Process Approach for Managing Medical Drone Deliveries
- Designing drone delivery networks for vaccine supply chain: a case study of Niger
- Designing Drone Delivery Networks for Vaccine Supply Chain: A Case Study of Niger
- An analysis of COVID-19 vaccine hesitancy in the U.S.
- An Analysis of COVID-19 Vaccine Hesitancy in the U.S. at the County Level
- A Hybrid Agent-Based Simulation and Optimization Approach for Statewide Truck Parking Capacity Expansion
- A Hybrid Agent-Based Simulation and Optimization Approach for Statewide Truck Parking Capacity Expansion
- A Hybrid Agent-Based Simulation and Optimization Approach for Statewide Truck Parking Capacity Expansion
- A Hybrid Agent-Based Simulation and Optimization Approach for Statewide Truck Parking Capacity Expansion
- A Markov Decision Process Approach for Managing Medical Drone Deliveries
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