|When:||Tuesday, January 22, 2013|
4:00 PM - 5:00 PM
|Where:||Technological Institute, M228
2145 Sheridan Road
Evanston, IL 60208 map it
|Audience:||- Faculty/Staff - Student - Public|
(847) 491-3576 |
|Group:||Department of Industrial Engineering and Management Sciences|
|Category:||Lectures & Meetings|
University of Pittsburgh
Abstract: The flu shot composition is updated annually to adjust for frequent mutations in flu viruses. These updates take place well in advance before the epidemic, as the flu shot production has many time-sensitive steps. We propose a bilevel multi-stage stochastic mixed-integer program that maximizes societal benefits of the flu shot under an autonomous profit-maximizing manufacturer. Calibrated over publicly available data, our model returns the optimal flu shot composition and timing in a stochastic and dynamic environment. We derive analytical results, and perform numerical experiments to analyze the effect of yield uncertainty on the vaccine supply. We also discuss the impact of supply- and demand-side interventions on the societal vaccination benefit. This is a joint work with Osman Y. Özaltn and Andrew J. Schaefer.
Biography: Oleg A. Prokopyev is an Associate Professor of Industrial Engineering at the University of Pittsburgh. He received his B.S. and M.S. in applied mathematics and physics from Moscow Institute of Physics and Technology (Russia), and his M.S. and Ph.D. in industrial and systems engineering from the University of Florida. His current research interests are in the areas of combinatorial optimization, stochastic programming, integer programming, and applications in healthcare and bioinformatics.