How to cite this paper
Rouhani, S., Pishvaee, M & Zarrinpoor, N. (2021). A fuzzy optimization approach to strategic organ transplantation network design problem: A real case study.Decision Science Letters , 10(3), 195-216.
Refrences
Ahmad, D., Nadim, K., Ivanchenko, S., & Ashcheulova, T. (2015). Ethical issues in organ transplantation (Doctoral dissertation).
Ahmadi-Javid, A., & Ramshe, N. (2020). A stochastic location model for designing primary healthcare networks integrated with workforce cross-training. Operations Research for Health Care, 24, 100226.
Amid, A., Ghodsypour, S. H., & O’Brien, C. (2011). A weighted max–min model for fuzzy multi-objective supplier selection in a supply chain. International Journal of Production Economics, 131(1), 139-145.
Aouni, B., & Kettani, O. (2001). Goal programming model: A glorious history and a promising future. European Journal of Operational Research, 133(2), 225-231.
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.
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.
Buch, H., & Trivedi, I. (2021). Ions motion optimization algorithm for multiobjective optimization problems. Decision Science Letters, 10(2), 93-110.
Chang, N. B., & Wang, S. F. (1997). A fuzzy goal programming approach for the optimal planning of metropolitan solid waste management systems. European Journal of Operational Research, 99(2), 303-321.
Chen, L. H., & Tsai, F. C. (2001). Fuzzy goal programming with different importance and priorities. European Journal of Operational Research, 133(3), 548-556.
Choudhary, D., & Shankar, R. (2014). A goal programming model for joint decision making of inventory lot-size, supplier selection and carrier selection. Computers & Industrial Engineering, 71, 1-9.
Daskin, M. S., & Dean, L. K. (2005). Location of health care facilities. Operations Research and Health Care, 43-76.
Deffains, B., & Ythier, J. M. (2010). Optimal production of transplant care services. Journal of Public Economics, 94(9-10), 638-653.
de Oliveira Mota, D., Monteleone, J. P., Pessoa, J. L. E., & Pimentel, C. F. M. G. (2020, June). São Paulo State Liver Transplantation Supply Chain Study. In Transplantation Proceedings, 52(5), 1247-1250.
Ghodratnama, A., Tavakkoli-Moghaddam, R., & Azaron, A. (2015). Robust and fuzzy goal programming optimization approaches for a novel multi-objective hub location-allocation problem: A supply chain overview. Applied Soft Computing, 37, 255-276.
Halawa, F., Madathil, S. C., Gittler, A., & Khasawneh, M. T. (2020). Advancing evidence-based healthcare facility design: a systematic literature review. Health Care Management Science, 23, 453-480.
Hwang, C. L., & Masud, A. S. M. (2012). Multiple objective decision making—methods and applications: a state-of-the-art survey (Vol. 164). Springer Science & Business Media.
Kong, N., Schaefer, A. J., Hunsaker, B., & Roberts, M. S. (2010). Maximizing the efficiency of the US liver allocation system through region design. Management Science, 56(12), 2111-2122.
Lui, C., Fraser III, C. D., Zhou, X., Suarez-Pierre, A., Grimm, J. C., Higgins, R. S., ... & Kilic, A. (2020). Increased use of multiorgan transplantation in heart transplantation: only time will tell. The Annals of Thoracic Surgery, 110(4), 1308-1315.
Meepetchdee, Y., & Shah, N. (2007). Logistical network design with robustness and complexity considerations. International Journal of Physical Distribution & Logistics Management, 37(3).
Mavrotas, G. (2007). Generation of efficient solutions in Multiobjective Mathematical Programming problems using GAMS. Effective implementation of the ε-constraint method. Lecturer, Laboratory of Industrial and Energy Economics, School of Chemical Engineering. National Technical University of Athens.
Memari, P., Tavakkoli-Moghaddam, R., Navazi, F., & Jolai, F. (2020). Air and ground ambulance location-allocation-routing problem for designing a temporary emergency management system after a disaster. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 234(8), 812-828.
Najafizadeh, K., Ghorbani, F., & Bahadori, F. (2007). Brain death, detection to donation.
O'Leary, J. G., Samaniego, M., Barrio, M. C., Potena, L., Zeevi, A., Djamali, A., & Cozzi, E. (2016). The influence of immunosuppressive agents on the risk of de novo donor-specific HLA antibody production in solid organ transplant recipients. Transplantation, 100(1), 39.
Pishvaee, M. S., Rabbani, M., & Torabi, S. A. (2011). A robust optimization approach to closed-loop supply chain network design under uncertainty. Applied Mathematical Modelling, 35(2), 637-649.
Pishvaee, M. S., & Razmi, J. (2012). Environmental supply chain network design using multi-objective fuzzy mathematical programming. Applied Mathematical Modelling, 36(8), 3433-3446.
Pishvaee, M. S., Razmi, J., & Torabi, S. A. (2012). Robust possibilistic programming for socially responsible supply chain network design: A new approach. Fuzzy Sets and Systems, 206, 1-20.
Platt, J. L. (1998). New directions for organ transplantation. Nature, 392(6679 Suppl), 11-17.
Pretto, E. A., Biancofiore, G., Niemann, C., Klinck, J. R., & Slinger, P. D. (Eds.). (2015). Oxford textbook of transplant anaesthesia and critical care. Oxford Textbook in Anaesthesia.
Quiroga, I., McShane, P., Koo, D. D., Gray, D., Friend, P. J., Fuggle, S., & Darby, C. (2006). Major effects of delayed graft function and cold ischaemia time on renal allograft survival. Nephrology Dialysis Transplantation, 21(6), 1689-1696.
Savaşer, S., Kınay, Ö. B., Kara, B. Y., & Cay, P. (2019). Organ transplantation logistics: a case for Turkey. OR Spectrum, 41(2), 327-356.
Singh, A., & Kumar, S. (2012). Multiple objectives mathematical programming using payoff techniques. International Journal of Pure and Applied Sciences and Technology, 9(1), 39.
Stahl, J. E., Kong, N., Shechter, S. M., Schaefer, A. J., & Roberts, M. S. (2005). A methodological framework for optimally reorganizing liver transplant regions. Medical Decision Making, 25(1), 35-46.
Torabi, S. A., & Hassini, E. (2008). An interactive possibilistic programming approach for multiple objective supply chain master planning. Fuzzy Sets and Systems, 159(2), 193-214.
Totsuka, E., Fung, J. J., Lee, M. C., Ishii, T., Umehara, M., Makino, Y., ... & Sasaki, M. (2002). Influence of cold ischemia time and graft transport distance on postoperative outcome in human liver transplantation. Surgery Today, 32(9), 792-799.
Tu, C. S., & Chang, C. T. (2016). Using binary fuzzy goal programming and linear programming to resolve airport logistics center expansion plan problems. Applied Soft Computing, 44, 222-237.
Wolfe, R. A., Roys, E. C., & Merion, R. M. (2010). Trends in organ donation and transplantation in the United States, 1999–2008.
Xu, J., & Zhou, X. (2013). Approximation based fuzzy multi-objective models with expected objectives and chance constraints: Application to earth-rock work allocation. Information Sciences, 238, 75-95.
YazdiMoghaddam, H., Manzari, Z. S., Heydari, A., & Mohammadi, E. (2020). Challenges in the management of care of brain-dead patients in the donation process: A qualitative content analysis. International Journal of Organ Transplantation Medicine, 11(3), 129.
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 & Industrial Engineering, 74, 139-148.
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.
Zhalechian, M., Tavakkoli-Moghaddam, R., Rahimi, Y., & Jolai, F. (2017). An interactive possibilistic programming approach for a multi-objective hub location problem: Economic and environmental design. Applied Soft Computing, 52, 699-713.
Zarrinpoor, N., Fallahnezhad, M. S., & Pishvaee, M. S. (2017). Design of a reliable hierarchical location-allocation model under disruptions for health service networks: A two-stage robust approach. Computers & Industrial Engineering, 109, 130-150.
Ahmadi-Javid, A., & Ramshe, N. (2020). A stochastic location model for designing primary healthcare networks integrated with workforce cross-training. Operations Research for Health Care, 24, 100226.
Amid, A., Ghodsypour, S. H., & O’Brien, C. (2011). A weighted max–min model for fuzzy multi-objective supplier selection in a supply chain. International Journal of Production Economics, 131(1), 139-145.
Aouni, B., & Kettani, O. (2001). Goal programming model: A glorious history and a promising future. European Journal of Operational Research, 133(2), 225-231.
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.
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.
Buch, H., & Trivedi, I. (2021). Ions motion optimization algorithm for multiobjective optimization problems. Decision Science Letters, 10(2), 93-110.
Chang, N. B., & Wang, S. F. (1997). A fuzzy goal programming approach for the optimal planning of metropolitan solid waste management systems. European Journal of Operational Research, 99(2), 303-321.
Chen, L. H., & Tsai, F. C. (2001). Fuzzy goal programming with different importance and priorities. European Journal of Operational Research, 133(3), 548-556.
Choudhary, D., & Shankar, R. (2014). A goal programming model for joint decision making of inventory lot-size, supplier selection and carrier selection. Computers & Industrial Engineering, 71, 1-9.
Daskin, M. S., & Dean, L. K. (2005). Location of health care facilities. Operations Research and Health Care, 43-76.
Deffains, B., & Ythier, J. M. (2010). Optimal production of transplant care services. Journal of Public Economics, 94(9-10), 638-653.
de Oliveira Mota, D., Monteleone, J. P., Pessoa, J. L. E., & Pimentel, C. F. M. G. (2020, June). São Paulo State Liver Transplantation Supply Chain Study. In Transplantation Proceedings, 52(5), 1247-1250.
Ghodratnama, A., Tavakkoli-Moghaddam, R., & Azaron, A. (2015). Robust and fuzzy goal programming optimization approaches for a novel multi-objective hub location-allocation problem: A supply chain overview. Applied Soft Computing, 37, 255-276.
Halawa, F., Madathil, S. C., Gittler, A., & Khasawneh, M. T. (2020). Advancing evidence-based healthcare facility design: a systematic literature review. Health Care Management Science, 23, 453-480.
Hwang, C. L., & Masud, A. S. M. (2012). Multiple objective decision making—methods and applications: a state-of-the-art survey (Vol. 164). Springer Science & Business Media.
Kong, N., Schaefer, A. J., Hunsaker, B., & Roberts, M. S. (2010). Maximizing the efficiency of the US liver allocation system through region design. Management Science, 56(12), 2111-2122.
Lui, C., Fraser III, C. D., Zhou, X., Suarez-Pierre, A., Grimm, J. C., Higgins, R. S., ... & Kilic, A. (2020). Increased use of multiorgan transplantation in heart transplantation: only time will tell. The Annals of Thoracic Surgery, 110(4), 1308-1315.
Meepetchdee, Y., & Shah, N. (2007). Logistical network design with robustness and complexity considerations. International Journal of Physical Distribution & Logistics Management, 37(3).
Mavrotas, G. (2007). Generation of efficient solutions in Multiobjective Mathematical Programming problems using GAMS. Effective implementation of the ε-constraint method. Lecturer, Laboratory of Industrial and Energy Economics, School of Chemical Engineering. National Technical University of Athens.
Memari, P., Tavakkoli-Moghaddam, R., Navazi, F., & Jolai, F. (2020). Air and ground ambulance location-allocation-routing problem for designing a temporary emergency management system after a disaster. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine, 234(8), 812-828.
Najafizadeh, K., Ghorbani, F., & Bahadori, F. (2007). Brain death, detection to donation.
O'Leary, J. G., Samaniego, M., Barrio, M. C., Potena, L., Zeevi, A., Djamali, A., & Cozzi, E. (2016). The influence of immunosuppressive agents on the risk of de novo donor-specific HLA antibody production in solid organ transplant recipients. Transplantation, 100(1), 39.
Pishvaee, M. S., Rabbani, M., & Torabi, S. A. (2011). A robust optimization approach to closed-loop supply chain network design under uncertainty. Applied Mathematical Modelling, 35(2), 637-649.
Pishvaee, M. S., & Razmi, J. (2012). Environmental supply chain network design using multi-objective fuzzy mathematical programming. Applied Mathematical Modelling, 36(8), 3433-3446.
Pishvaee, M. S., Razmi, J., & Torabi, S. A. (2012). Robust possibilistic programming for socially responsible supply chain network design: A new approach. Fuzzy Sets and Systems, 206, 1-20.
Platt, J. L. (1998). New directions for organ transplantation. Nature, 392(6679 Suppl), 11-17.
Pretto, E. A., Biancofiore, G., Niemann, C., Klinck, J. R., & Slinger, P. D. (Eds.). (2015). Oxford textbook of transplant anaesthesia and critical care. Oxford Textbook in Anaesthesia.
Quiroga, I., McShane, P., Koo, D. D., Gray, D., Friend, P. J., Fuggle, S., & Darby, C. (2006). Major effects of delayed graft function and cold ischaemia time on renal allograft survival. Nephrology Dialysis Transplantation, 21(6), 1689-1696.
Savaşer, S., Kınay, Ö. B., Kara, B. Y., & Cay, P. (2019). Organ transplantation logistics: a case for Turkey. OR Spectrum, 41(2), 327-356.
Singh, A., & Kumar, S. (2012). Multiple objectives mathematical programming using payoff techniques. International Journal of Pure and Applied Sciences and Technology, 9(1), 39.
Stahl, J. E., Kong, N., Shechter, S. M., Schaefer, A. J., & Roberts, M. S. (2005). A methodological framework for optimally reorganizing liver transplant regions. Medical Decision Making, 25(1), 35-46.
Torabi, S. A., & Hassini, E. (2008). An interactive possibilistic programming approach for multiple objective supply chain master planning. Fuzzy Sets and Systems, 159(2), 193-214.
Totsuka, E., Fung, J. J., Lee, M. C., Ishii, T., Umehara, M., Makino, Y., ... & Sasaki, M. (2002). Influence of cold ischemia time and graft transport distance on postoperative outcome in human liver transplantation. Surgery Today, 32(9), 792-799.
Tu, C. S., & Chang, C. T. (2016). Using binary fuzzy goal programming and linear programming to resolve airport logistics center expansion plan problems. Applied Soft Computing, 44, 222-237.
Wolfe, R. A., Roys, E. C., & Merion, R. M. (2010). Trends in organ donation and transplantation in the United States, 1999–2008.
Xu, J., & Zhou, X. (2013). Approximation based fuzzy multi-objective models with expected objectives and chance constraints: Application to earth-rock work allocation. Information Sciences, 238, 75-95.
YazdiMoghaddam, H., Manzari, Z. S., Heydari, A., & Mohammadi, E. (2020). Challenges in the management of care of brain-dead patients in the donation process: A qualitative content analysis. International Journal of Organ Transplantation Medicine, 11(3), 129.
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 & Industrial Engineering, 74, 139-148.
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.
Zhalechian, M., Tavakkoli-Moghaddam, R., Rahimi, Y., & Jolai, F. (2017). An interactive possibilistic programming approach for a multi-objective hub location problem: Economic and environmental design. Applied Soft Computing, 52, 699-713.
Zarrinpoor, N., Fallahnezhad, M. S., & Pishvaee, M. S. (2017). Design of a reliable hierarchical location-allocation model under disruptions for health service networks: A two-stage robust approach. Computers & Industrial Engineering, 109, 130-150.