Decision Systems Engineering Fall ‘14 Seminar Series
Optimization and Simulation Analyses for Optimal Liver Allocation Boundaries
Monica Gentili, Visiting Professor
Institute for People and Technology, Georgia Institute of Technology
Wednesday, November 19, 2014
Brickyard (BYENG) 210, Tempe campus [map]
This study combined Geographic Information Systems, mathematical programming models and Discrete Event Simulation to advance existing research on organ allocation system and geographic equity and efficiency in liver transplantation system. The main objectives of the study are: (i) to identify key factors determining geographic disparity in kidney transplantation; (ii) to identify optimal locations for both existing and new liver transplant centers (iii) to identify new OPO boundaries and (iv) to test whether the mathematically produced liver allocation system can perform better than the actual system. Monica Gentili will show the results of the proposed combined approach when applied to liver transplantation in USA.
Monica Gentili is a tenured assistant professor at the Department of Mathematics, School of Natural Sciences of University of Salerno in Italy, and she is currently a visiting assistant professor at the Institute for People and Technology at the Georgia Institute of Technology. Her research expertise is combinatorial optimization with particular emphasis on location/allocation problems and network flow optimization with application in traffic management and control and health care systems. She was awarded the bi-annual SOLA Best Dissertation Award (Section On Location Analysis) with the PhD Dissertation: New Models and Algorithms for the Location of Sensors on Traffic Networks. She collaborates on several international research projects on traffic modeling and location and have fruitful collaborations with many well-known international researchers. Dr. Gentili has authored or co-authored several fully refereed articles in international journals and conference proceedings relative to network flow and location problems on networks.