Nur Sunar
Assistant Professor of Operations, UNC Kenan-Flagler Business School
Nur Sunar studies operations management problems that involve decision making under uncertainty.
Her primary research areas are applied probability, energy, investment strategies, global supply chains, environmentally responsible operations management and technology management. Her doctoral research examines management problems in energy and sustainability.
In her research, she uses various analytic methods including stochastic control theory, differential equations, dynamic programming, and game theory.
Dr. Sunar teaches courses in operations management.
She received her PhD from Stanford Graduate School of Business, Stanford University and her BS in industrial engineering from Bogazici University in Istanbul.
Recent Publications
September 27, 2018
Electricity end-users have been increasingly generating their own electricity via rooftop solar panels. Our paper studies the implications of such “distributed renewable energy” for utility profits and social welfare under net metering that has sparked heated debates in practice. The common belief is that such type of generation significantly decreases utility profits because (i) distributed generation reduces utility’s market size, and (ii) under net metering, utilities must buy back the excess generation of their customers at a rate typically larger than their procurement cost.
July 17, 2017
It is generally accepted that operating with a combined (i.e., pooled) queue rather than separate (i.e., dedicated) queues is beneficial mainly because pooling queues reduces long-run average throughput time. In fact, this is a well-established result in the literature, e.g., when servers and jobs are identical. We consider an observable multi-server queueing system which can be operated with either dedicated queues or a pooled one.