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20182024
most citedDistributionally Robust Optimization for a Resilient Transmission Grid During Geomagnetic Disturbances

5 citations · 19 across the 14 of their papers we have counts for

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13 papers · 1 filter

math.OC2024

Pediatric vaccine tender scheduling in low- and middle-income countries

Nicholas Uhorchak, Ruben A. Proano, Sandra Eksioglu +2

Effective and efficient scheduling of vaccine distribution can significantly impact vaccine uptake, which is critical to controlling the spread of infectious diseases. Ineffective…

math.OC2022★ 1 cited

A Two Stage Stochastic Optimization Model for Port Infrastructure Planning

Sanjeev Bhurtyal, Sarah Hernandez, Sandra Eksioglu +1

This paper investigates inland port infrastructure investment planning under uncertain commodity demand conditions. A two-stage stochastic optimization is developed to model the im…

math.OC2022

Designing Drone Delivery Networks for Vaccine Supply Chain: A Case Study of Niger

Maximilian Kolter, Sandra D. Eksioglu, Sarah Nurre Pinkley +1

The focus of this research is to evaluate the use of drones for the delivery of pediatric vaccines in remote areas of low income and low and middle income countries. Delivering vac…

math.OC2021

A Multi-stage Stochastic Programming Model for Adaptive Biomass Processing Operation under Uncertainty

Berkay Gulcan, Yongjia Song, Sandra D. Eksioglu

Variations of physical and chemical characteristics of biomass reduce equipment utilization and increase operational costs of biomass processing. Biomass processing facilities use…

math.OC2021

Stochastic Process Optimization of an Integrated Biorefinery

Dahui Liu, Sandra Eksioglu, Mohammad Roni

Planning of biorefinery operations is complicated by the stochastic nature of physical and chemical characteristics of biomass feedstock, such as, moisture level and carbohydrate c…

math.OC2021★ 2 cited

Optimal Control to Handle Variations in Biomass Feedstock Characteristics and Reactor In-Feed Rate

Fikri Kucuksayacigil, Mohammad Roni, Sandra D. Eksioglu +1

The variations in feedstock characteristics such as moisture and particle size distribution lead to an inconsistent flow of feedstock from the biomass pre-processing system to the…

math.OC2021★ 1 cited

Optimization Models for Integrated Biorefinery Operations

Berkay Gulcan, Sandra D. Eksioglu, Yongjia Song +2

Variations of physical and chemical characteristics of biomass lead to an uneven flow of biomass in a biorefinery, which reduces equipment utilization and increases operational cos…

math.OC2020★ 1 cited

Simulation-Optimization of Automated Material Handling Systems in a Healthcare Facility

Amogh Bhosekar, Tugce Isik, Sandra Eksioglu +2

Automated material handling systems are used in healthcare facilities to optimize material flow, minimize workforce requirements, reduce the risk of contamination, and reduce injur…

math.OC2020

A Stochastic Biomass Blending Problem in Decentralized Supply Chains

Sandra D. Eksioglu, Berkay Gulcan, Mohammad Roni +1

Blending biomass materials of different physical or chemical properties provides an opportunity to adjust the quality of the feedstock to meet the specifications of the conversion…

math.OC2020

A Discrete Event Simulation Model for Coordinating Inventory Management and Material Handling in Hospitals

Amogh Bhosekar, Sandra Eksioglu, Tugce Isik

For operating rooms (ORs) and hospitals, inventory management of surgical instruments and material handling decisions of perioperative services are critical to hospitals' service l…

math.OC2019★ 5 cited

Distributionally Robust Optimization for a Resilient Transmission Grid During Geomagnetic Disturbances

Mowen Lu, Sandra D. Eksioglu, Scott J. Mason +2

In recent years, there have been increasing concerns about the impacts of geomagnetic disturbances (GMDs) on electrical power systems. Geomagnetically-induced currents (GICs) can s…

math.OC2018★ 1 cited

Algorithms for Optimal Topology Design, Placement, Sizing and Operation of Distributed Energy Resources in Resilient Off-grid Microgrids

Sreenath Chalil Madathil, Harsha Nagarajan, Russell Bent +3

Power distribution in remote communities often depends on off-grid microgrids. In order to address the reliability challenges for these microgrids, we develop a mathematical model…

math.OC2018★ 2 cited

Tight Piecewise Convex Relaxations for Global Optimization of Optimal Power Flow

Mowen Lu, Harsha Nagarajan, Russell Bent +2

Since the alternating current optimal power flow (ACOPF) problem was introduced in 1962, developing efficient solution algorithms for the problem has been an active field of resear…