A dynamic bi—objective model for after disaster blood supply chain network design; a robust possibilistic programming approach

Health service management plays a crucial role in human life. Blood related operations are considered as one of the important components of the health services. This paper presents a bi—objective mixed integer linear programming model for dynamic location-allocation of blood facilities that integrates strategic and tactical decisions. Due to theepistemic uncertain nature of strategic decisions, in order to cope with the inherent uncertainties, a robust possibilistic programming approach is applied to the proposed model. Finally, to test the applicability of the proposed model, sensitivity analysis and some numerical examples are being proposed.

Keywords:

Blood supply chain , Uncertainty , Robust possibilistic programming approach