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Organ transportation and allocation problem under medical uncertainty: A real case study of liver transplantation

Bahareh Kargar, Mir Saman Pishvaee, Hamed Jahani and Jiuh-Biing Sheu

Transportation Research Part E: Logistics and Transportation Review, 2020, vol. 134, issue C

Abstract: Organ allocation is the most important decision amongst organ transplantation decisions thanks to the high demand of organs. This research develops a possibilistic programming model for a liver transportation and allocation problem considering medical uncertainty and tradeoff between quality metrics, namely efficiency and equity. The model maximizes the survival rate of patients and minimizes the transportation cost and time. A novel hybrid interactive fuzzy optimization model is developed based on preemptive goal programming approach. Several numerical examples are taken from a real case study. The results demonstrate that the suggested algorithm outperforms the existing allocation policy, considering both metrics.

Keywords: Organ transplantation; Organ transportation network; Fuzzy sets; Possibilistic programming; Preemptive goal programming (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1016/j.tre.2020.101841

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