Blood products supply chain design considering disaster circumstances (Case study: earthquake disaster in Tehran)

Maintaining the health of people during and after a disaster is one of the most important issues in disaster management. Blood products are among the essential items needed to save the human life and the lack of them may lead to significant losses in human health. In this paper a comprehensive mathematical model of blood products supply chain is presented to respond the need for blood products in disaster situations. The proposed model is a bi-objective mixed integer programming and with respect to the unstable conditions during the disaster the uncertain parameters are modelled by fuzzy numbers. An interactive possibilistic programming approach is applied to handle the uncertainty. The developed model is implemented for the earthquake disaster case study in mega city of Tehran using blood transfusion network data. The results show the ability of the proposed model in generating effective solutions under earthquake conditions.