Fair liver transplant allocation: A scalable optimization model
Event Date: 3 July 2019
Speaker: Professor S. Raghu Raghavan, Dean's Professor of Management Science & Operations Management, The Robert H. Smith School of Business & Institute for Systems Research, University of Maryland
Location: Strathclyde Business School, Cathedral Wing CW 404b
Time: 3-4pm
Abstract:
The United States Department of Health and Human Services is interested in increasing geographic equity in liver transplants. Organ supply to demand ratio is viewed as a good proxy for evaluating access to organs by patients on a waitlist by the transplant community. We assess the current state-of-affairs by comparing the organ supply to demand ratio at each transplant center. We then develop a nonlinear integer programming model (which can be linearized) that maximizes the minimum supply to demand ratio across all transplant centers. When donor hospitals/regions are required to have circular contiguity, the nonlinear integer programming model can be transformed to an integer linear set covering model. When applying our methodology on historical data, our results indicate that the worst supply/demand ratio across transplant centers is improved upon significantly. Further, the variation in this ratio across transplant centers is significantly reduced.
Joint work with: Shubham Akshat, University of Maryland, shubham_akshat@rhsmith.umd.edu; Sommer Gentry, United States Naval Academy, gentry@usna.edu
Biography
Dr. Raghavan is passionate about using quantitative methods (in particular optimization models) for better decision making. His research interests and activities cover a broad domain including--- auction design, data mining, economics, information systems, computational marketing, networks, optimization, and telecommunications. He has published on a wide variety of topics (including telecommunications, electronic markets, and data mining) and numerous academic outlets such as Management Science, Operations Research, Decision Support Systems, and the INFORMS Journal on Computing. He holds two patents, and has won numerous awards for his work. These include (i) the Dantzig award for the best doctoral dissertation, (ii) the INFORMS Computing Society Prize (twice); once for innovative contributions to the field of data mining, and a second time for his contributions to public sector auction design, (iii) the Glover-Klingman Prize for the best paper in the journal Networks, (v) the Management Science Strategic Innovation Prize by the European Operations Research Society, (v) 2ndPrize in the INFORMS Junior Faculty Paper Competition, (vi) Finalist for the European Operations Research Society Excellence in Practice Award, and (vii) Finalist for the Wagner Prize for Excellence in Operations Research Practice. He has edited six books titled Telecommunications Network Design and Management (Kluwer Academic Press 2003), Telecommunications Planning: Innovations in Pricing, Network Design, and Management (Springer 2006), The Next Wave in Computing, Optimization, and Decision Technologies (Springer 2005), Telecommunications Modeling, Policy, and Technology (Springer 2008), The Vehicle Routing Problem: Latest Advances and New Challenges (Springer 2008), and Tutorials in Operations Research (INFORMS 2008). He enjoys teaching decision modeling oriented courses, and is a recipient of the Legg-Mason Teaching Innovation award at the Smith School. Prior to joining the Smith School he led the Optimization Group at U S WEST Advanced Technologies.
Published: 26 June 2019
