[1] Sorourkhah, A. (2022). Coping uncertainty in the supplier selection problem using a scenario-based approach and distance measure on type-2 intuitionistic fuzzy sets. Fuzzy optimization and modeling journal, 3(1), 64–71. DOI:10.30495/fomj.2022.1953705.1066
[2] Eydi, A., & Mansouri, Z. (2023). The open location-routing problem for multi-objective optimization of sustainable supply chain considering social concerns. Journal of industrial and management optimization, 19(10), 7423–7446. DOI:10.3934/jimo.2023003
[3] Karasakal, O., Karasakal, E., & Töreyen, Ö. (2023). A partial coverage hierarchical location allocation model for health services. European journal of industrial engineering, 17(1), 115–147. DOI:10.1504/EJIE.2023.10045477
[4] Bruni, M. E., Conforti, D., Sicilia, N., & Trotta, S. (2006). A new organ transplantation location-allocation policy: a case study of Italy. Health care management science, 9(2), 125–142. DOI:10.1007/s10729-006-7661-z
[5] Kong, N., Schaefer, A. J., Hunsaker, B., & Roberts, M. S. (2010). Maximizing the efficiency of the U.S. liver allocation system through region design. Management science, 56(12), 2111–2122. DOI:10.1287/mnsc.1100.1249
[6] Demirci, M. C., Schaefer, A. J., Edwin Romeijn, H., & Roberts, M. S. (2012). An exact method for balancing efficiency and equity in the liver allocation hierarchy. INFORMS journal on computing, 24(2), 260–275. DOI:10.1287/ijoc.1110.0445
[7] Beliën, J., De Boeck, L., Colpaert, J., Devesse, S., & Van Den Bossche, F. (2013). Optimizing the facility location design of organ transplant centers. Decision support systems, 54(4), 1568–1579. DOI:10.1016/j.dss.2012.05.059
[8] Zahiri, B., Tavakkoli-Moghaddam, R., & Pishvaee, M. S. (2014). A robust possibilistic programming approach to multi-period location-allocation of organ transplant centers under uncertainty. Computers and industrial engineering, 74(1), 139–148. DOI:10.1016/j.cie.2014.05.008
[9] Zahiri, B., Tavakkoli-Moghaddam, R., Mohammadi, M., & Jula, P. (2014). Multi objective design of an organ transplant network under uncertainty. Transportation research part E: logistics and transportation review, 72, 101–124. DOI:10.1016/j.tre.2014.09.007
[10] Mantecchini, L., Paganelli, F., Morabito, V., Ricci, A., Peritore, D., Trapani, S., ... & Costa, A. N. (2016). Transportation of organs by air: safety, quality, and sustainability criteria. Transplantation proceedings (Vol. 48, No. 2, pp. 304-308). Elsevier. DOI: 10.1016/j.transproceed.2015.12.050
[11] Cacchiani, V., Malandri, C., Mantecchini, L., & Paganelli, F. (2018). A study on the optimal aircraft location for human organ transportation activities. Transportation research procedia, 30, 314–323. DOI:10.1016/j.trpro.2018.09.034
[12] Savaşer, S., Kınay, Ö. B., Kara, B. Y., & Cay, P. (2019). Organ transplantation logistics: a case for Turkey. OR spectrum, 41(2), 327–356. DOI:10.1007/s00291-018-0538-y
[13] Klein, A. S., Messersmith, E. E., Ratner, L. E., Kochik, R., Baliga, P. K., & Ojo, A. O. (2010). Organ donation and utilization in the United States, 1999-2008: special feature. American journal of transplantation, 10(4 PART 2), 973–986. DOI:10.1111/j.1600-6143.2009.03008.x
[14] Oztekin, A., Kong, Z. J., & Delen, D. (2011). Development of a structural equation modeling-based decision tree methodology for the analysis of lung transplantations. Decision support systems, 51(1), 155–166. DOI:10.1016/j.dss.2010.12.004
[15] Lunz, J., Hinsdale, L., King, C., Pastush, R., Buenvenida, M., & Harmon, M. (2017). The coordination of allocation: logistics of kidney organ allocation to highly sensitized patients. Human immunology, 78(1), 16–18. DOI:10.1016/j.humimm.2016.10.002
[16] Caruso, V., & Daniele, P. (2018). A network model for minimizing the total organ transplant costs. European journal of operational research, 266(2), 652–662. DOI:10.1016/j.ejor.2017.09.040
[17] Goli, A., Ala, A., & Mirjalili, S. (2023). A robust possibilistic programming framework for designing an organ transplant supply chain under uncertainty. Annals of operations research, 328(1), 493–530. DOI:10.1007/s10479-022-04829-7