Developing a Two-stage Robust Stochastic Model for Designing a Resilient Blood Supply Chain Considering Earthquake Disturbances and Infectious Diseases

Document Type : Research Paper


1 PhD Candidate, Department of Industrial Management, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran.

2 Prof., Department of Industrial Management, Faculty of Management and Economics, Tarbiat Modares University, Tehran, Iran.

3 Prof., Department of Industrial Management and Information Technology, Faculty of Management and Accounting, Shahid Beheshti University, Tehran, Iran.


Objective: In today's turbulent world, supply chains face a variety of disruptions that cause disruption or reduction of flow in them. One way to deal with supply chain disruptions is through resilience strategies. In this paper, a two-stage scenario-based model was developed considering two disruptions in the multilevel blood supply chain as well as their effects.
Methods: First, by examining different articles, the research gap was investigated and then the mathematical modeling was done. Also, to deal with uncertainty, two-stage stochastic programming was used. Finally, in order to face the multi-objective nature of the model, the model was solved by Torabi and Hosseini method.
Results: The proposed model was solved using the Torabi and Hosseini method in the real case, i.e. the blood supply chain of Tehran, in a suitable period of time by GAMS software.
Conclusion: The achieved results of the present study proved that adopting strategies such as redundancy, flexibility, and expanding social responsibility makes it is possible to make the blood supply chain resilient and reduce the shortage when faced with disruptions.


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