The University of Texas Austin
Economics, Parameter Uncertainty, and Queueing: Naor's Model with
Random Arrival Rates
The classical model of Naor examines the effects of economics in queueing systems when customers choose whether or not to enter the system, based on their
own utility. Naor demonstrated different system effects from the point of view of individuals, a social optimizer, and a revenue maximizing firm. In his model, all
actors know the parameters in advance with complete certainty. We extend Naor's model by assuming that the arrival rate is not known by either the system manager or the customers.
This new assumption has a significant effect on the relationship between managers and society and leads to some non-intuitive results.
Bio: John Hasenbein is a professor in the Graduate Program in OR/IE at the University of Texas Austin. He received his B.S. in Systems Science and Mathematics from Washington University in St. Louis and his M.S. and Ph.D. from Georgia Tech. Dr. Hasenbein's research interests include queueing and fluid models, large
deviations, and Markov decision processes. He is on the editorial boards of Operations Research, Queueing Systems, IIE Transactions, and Operations Research Letters, and is currently the chair of the Applied Probability Society council. Dr. Hasenbein has been supported by NSF via an
International Research Fellowship and a CAREER award, among other grants. His applied research projects have been funded by AMD, International Sematech, Samsung, Ayata, Zilliant, ConocoPhillips, the South Texas Nuclear Operating Company, and SK-Telecom.
*Join us for light refreshments and meet our guest from 3:45 to 4:00 in the lobby of Duncan Hall. The colloquium begins at 4:00 and ends at 5:00. Open to the general public.
Monday, August 29, 2016
4:00 PM to 5:00 PM
Duncan Hall, RM1070