Date of Award
August 2020
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Industrial Engineering
Committee Member
Amin Khademi
Committee Member
Burak Eksioglu
Committee Member
Cole J Smith
Committee Member
Kevin M Taaffe
Abstract
In this dissertation, we utilize several mathematical, optimization, and simulation techniques to improve the outcomes of organ transplantation allocation systems. Specifically, in Chapter 1, we build a Monte Carlo simulation model of the heart transplantation system in the United States that can be used to compare the performance of different allocation policies and predict the future of allocation systems. In Chapter 2, we develop a constrained Markov Decision model of the transplant queuing system and investigate optimal allocation rules for heart transplantation in the presence of certain fairness constraints. In Chapter 3, we introduce a new measure of fairness in the organ transplantation queuing systems. We show that this measure helps improve the performance loss of incorporating fairness considerations in organ transplantation systems, and decrease the price of fairness.
Recommended Citation
Hasankhani Kohneh Shahri, Farhad, "Analysis of Allocation Rules for Heart Transplantation" (2020). All Dissertations. 2699.
https://tigerprints.clemson.edu/all_dissertations/2699