Sarah Nurre Pinkley
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Faculty Researcher
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Biography and Research Information
OverviewAI-generated summary
Sarah Nurre Pinkley's research focuses on the application of operations research and quantitative methods to complex logistical and supply chain challenges, particularly within healthcare and transportation sectors. Her work has investigated stochastic scheduling and allocation problems for battery swap stations, drawing on approximate dynamic programming and Markov decision processes. She has also explored the use of drones for medical delivery, including vaccine supply chains in regions like Niger, and analyzed factors influencing vaccine hesitancy in the U.S. at both national and county levels. Pinkley's research interests extend to simulation and optimization approaches for infrastructure expansion, such as statewide truck parking capacity. She has published nine papers and has an h-index of 6 with 162 citations. Her collaborators include Sandra D. Ekşioğlu and Maximilian Kolter from the University of Arkansas at Fayetteville.
Metrics
- h-index: 6
- Publications: 10
- Citations: 166
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
- Designing drone delivery networks for vaccine supply chain: a case study of Niger
- An analysis of COVID-19 vaccine hesitancy in the U.S.
- Designing drone delivery networks for vaccine supply chain: a case study of Niger
- An analysis of COVID-19 vaccine hesitancy in the U.S.
- 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
- Designing drone delivery networks for vaccine supply chain: a case study of Niger
- An analysis of COVID-19 vaccine hesitancy in the U.S.
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