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In this paper, a blood supply chain network, where the occurrence ofdisruption might interrupt the flow of Red Blood Cells, is dealt with. Inprinciple, the probability of disruption is not the only property confiding thenetwork, but unprecedented fluctuations in supplies and demands also contributeto the network shortages and outdated blood units. Although the considerationof parameter uncertainties is of paramount importance in the real-worldcircumstances for a decision-maker, she or he would be willing to monitor thenetwork in a properly broader perspective. Therefore, one of the eminent keyperformance indicators known as service level turned our attention. To tackleuncertainties in the mentioned network - comprising of the four conventionallevels containing donors, blood collection facilities, blood banks, andhospitals - we present a two-stage stochastic programming model. Consequently,a toy-example is randomly generated to validate the proposed model.Furthermore, numerical analysis led us to a comprehensive service levelanalysis. Finally, potential pathways for future research are suggested.

A Two-Stage Stochastic Programming Model for Blood Supply Chain Management, Considering Facility Disruption and Service Level