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A recourse policy to improve number of successful transplants in uncertain kidney exchange programs

Zeynivand, M ; Sharif University of Technology | 2023

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  1. Type of Document: Article
  2. DOI: 10.1007/s10957-023-02211-6
  3. Publisher: Springer , 2023
  4. Abstract:
  5. Uncertainty of kidney exchange programs (KEP) is one of the main challenges that cause failure in most planned transplants to proceed to surgery. Unfortunately, this challenge usually decreases KEP performance in the real world. To face this challenge, we develop an efficient approach, consisting of scheduling methodology and recourse actions, to recover failing pairs and improve the number of successful transplants in KEPs. The developed policy can be implemented in two different schemes. The first scheme receives an optimal matching as an input and determines recourse actions and the sequence of disjoint cycles and chains for the given optimal matching. However, the second scheme does not need optimal matching. This scheme simultaneously receives the compatibility graph as input and specifies the optimal matching, cycles and chains’ schedule, and corresponding recourse actions. Moreover, we investigate the performance of the developed approach under various circumstances to validate its positive impact on KEP performance. The results demonstrate that this approach increases the number of successful transplants in KEPs and decreases the number of remaining highly sensitive and O blood type patients in the pool. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature
  6. Keywords:
  7. Arc failure ; Kidney exchange program ; Recourse action ; Scheduling ; Simulation analysis ; Uncertainty ; Vertex failure
  8. Source: Journal of Optimization Theory and Applications ; Volume 197, Issue 2 , 2023 , Pages 476-507 ; 00223239 (ISSN)
  9. URL: https://link.springer.com/article/10.1007/s10957-023-02211-6