Designing a robust multi-objective blood supply chain considering blood corruption and uncertainty

This study presents a blood supply chain network design in disaster conditions with the objectives of minimizing total costs and blood delivery time while maximizing equity among demand points. To address the uncertainties in supply and demand parameters, a robust optimization based on Sim andBertsimas’ method is utilized. Initially, the model is solved using GAMS software, then the proposed model is validated with data from a case study of the Fars Province Blood Transfusion Organization.Sensitivity analysis is conducted on the crucial parameters of the problem for optimal decision-making in disaster conditions. The numerical results indicate that by increasing the error ofnonlinear parameters and the constant levels of supply and demand parameters, the objective functions will be worse. The findings help managers to plan for the worst-case scenarios and more effective supply chain decision-making.