A robust possibilistic optimization model for organ transplantation network design considering climate change and organ quality

S. Salimain | Seyed Meysam Mousavi

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URL :   http://research.shahed.ac.ir/WSR/WebPages/Report/PaperView.aspx?PaperID=169786
Date :  2022/04/14
Publish in :    Journal of Ambient Intelligence and Humanized Computing


Keywords :Organ transplant, Network design, Mixed-integer non-linear programming, Organ quality, Robust possibilistic method, ABS method

Abstract :

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In healthcare supply chain management particularly in emergency facilities, organ transplantation network plays a significant task. Donor hospital location and organ allocation can be essential aspects of the transplant network. In the allocation decisions area, weather conditions, quality of organs, and types of vehicles lead to life-challenging issues for the organ recipient. Due to the lack of studies covering location-allocation and organ transplant network design problems concerning uncertain conditions with climate change, quality of organs, and different types of vehicles, this paper proposes a new multi-objective mixed-integer non-linear programming (MINLP) model. The organ transplant network model aims to minimize the network cost and time and to maximize the quality of transmitted organs regarding economic and social dimensions simultaneously. Also, a new hybrid solution approach is presented based on robust possibilistic and ABS-compromise programming methods to handle uncertainties. The developed MINLP model is proper for adapting the design in a multi-organ transplant supply chain that employs multiple donations to deal with fluctuations of organs demands, climate change and organ quality in the supply. The hybrid solution procedure is investigated in an application example from the literature, referring to the organ transplant supply chain, which is exclusively vulnerable to such risks. The outcomes show that by employing the proposed approach, the objective functions increase 35.5, 74.1, and 19, respectively. Also, the results indicate that utilizing the risk of climate change raises the total cost by 1.3 compared to operating without this condition. Furthermore, the time increases 2.3 by considering the risk of climate change in this network. The sensitivity and comparative analyses determine that the quality of the organ enhances 17.8 by increasing the range of the ischemia time from 5 to 55 h.