Organ transportation and allocation problem under medical uncertainty: A real case study of liver transplantation
Journal
Transportation Research Part E: Logistics and Transportation Review
Journal Volume
134
Date Issued
2020
Author(s)
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. ? 2020 Elsevier Ltd
Subjects
Fuzzy sets; Organ transplantation; Organ transportation network; Possibilistic programming; Preemptive goal programming
SDGs
Other Subjects
algorithm; fuzzy mathematics; logistics; numerical model; optimization; public health; uncertainty analysis
Type
journal article