Designing a robust multi-objective blood supply chain network with permanent and mobile facilities for disaster relief

Benyamin Feghhi, Mohamad Sadegh Sangari, Abbas Keramati and Mohammad Reza Rouhani-Tazangi

International Journal of Logistics Systems and Management, 2025, vol. 50, issue 3, 386-409

Abstract: This study presents a blood supply chain network design in disaster conditions with the objectives of minimising total costs and blood delivery time while maximising equity among demand points. To address the uncertainties in supply and demand parameters, a robust optimisation based on Sim and Bertsimas' method is utilised. The initial model is solved using GAMS, and then, to validate the proposed model, data from a case study of Fars Province Blood Transfusion Organization is utilised. 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 of nonlinear 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.

Keywords: supply chain network design; blood supply chain; disaster relief; multi-objective model; robust optimisation. (search for similar items in EconPapers)
Date: 2025
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