Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran
Nowadays, working alone on a context is not sufficient and reaching good and worthy results demands cooperation of multi sciences. Healthcare supply chain is one of these sciences that bridges engineering and healthcare sciences. This paper proposes a new multi–objective model for organ transplant supply chain, which is one of consequential fields in Healthcare supply chain, by aiming at having a more effective system. First objective function tries to minimize costs of opened centers, shipping organs, information, and allocations. In this regard, to increase number of transplantations and decrease shortage of demands, a penalty figure is also considered for remained inventory at the end of each period. The second objective function considers three important aspects of location in organ transplant supply chain which have not been studied yet, including; expected number of donors, coverage of other locations by taking into consideration the maximum remaining time for each organ out of body, and safety index. The last objective function tries to find routs with final total minimum time. At the end, some numerical experiments are done with using GAMS optimization software.
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Aghazadeh, S. M., Mohammadi, M., & Naderi, B. (2017). Multi objective organ transplant supply chain with effective location and time consideration. Journal of Industrial and Systems Engineering, 10(4), 158-176.
Seyed Mahdi Aghazadeh; Mohammad Mohammadi; Bahman Naderi. "Multi objective organ transplant supply chain with effective location and time consideration". Journal of Industrial and Systems Engineering, 10, 4, 2017, 158-176.
Aghazadeh, S. M., Mohammadi, M., Naderi, B. (2017). 'Multi objective organ transplant supply chain with effective location and time consideration', Journal of Industrial and Systems Engineering, 10(4), pp. 158-176.
Aghazadeh, S. M., Mohammadi, M., Naderi, B. Multi objective organ transplant supply chain with effective location and time consideration. Journal of Industrial and Systems Engineering, 2017; 10(4): 158-176.