چكيده به لاتين
The organ transplant supply chain is one of the healthcare problems, which has been underestimated despite its importance and sensitivity. In this research, after outlining the scope of the problem, the articles of the field of organ transplantation network design are reviewed and categorized according to different criteria. Next, a bi-objective mathematical model for organ transplant network design is presented; The first is to minimizing the maximum travel time of each member and the sum of unanswered demand weights, and the second is to minimize costs, which are modeled using the preemptive goal programming method. Donation hospitals, transplant centers, organ-provisioning centers, airports, helipads, and helicopter stations form components of the designed network. In this study also the efficiency of the drone transport system, which is one of the new approaches in the process of organ transplantation is investigated. The source of the disruption in the proposed model is the frequent changes in the climate that will cause uncertainty in the time parameters. A robust scenario-based stochastic programming approach is employed to deal with model uncertainty. The results of the model implementation on the real data of Iran show that the use of low cost and efficient transportation systems such as drones, as well as reducing the number of centers built under uncertain model, leads to significant cost savings.
