A New Multiechelon Mathematical Modeling for Pre- and Postdisaster Blood Supply Chain: Robust Optimization Approach

Disaster management is one of the most important actions to protect property and lives victims. Failure pay attention logistical decisions disaster can have irreversible consequences. Therefore, a multiechelon mathematical model for blood supply chain in situations proposed this research. The includes supplier, central warehouse, reliable distributor, unreliable affected areas. How performs explained as follows: sent from supplier warehouses distribution centers. Also, capacity suppliers limited. main objective minimize costs while maximizing level satisfaction order meet demand area. Hence, research seeks decide whether or not establish warehouse. amount centers will also be calculated. One contributions consider pre- postdisaster modes simultaneously. Locating investigating flow between are other study. Solving using robust optimization approach another innovation taken into account solved optimization, finally, results indicate proper performance model.