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

Authors: Benyamin Feghhi; Mohamad Sadegh Sangari; Abbas Keramati; Mohammad Reza Rouhani-Tazangi

Addresses: Department of Industrial and Systems Engineering, Fouman Faculty of Engineering, College of Engineering, University of Tehran, P.O. Box 43581-39115, Iran ' Ted Rogers School of Information Technology Management, Ryerson University, 350 Victoria St, Toronto, ON M5B 2K3, Canada ' Ted Rogers School of Information Technology Management, Ryerson University, 350 Victoria St, Toronto, ON M5B 2K3, Canada ' Department of Industrial and Systems Engineering, Fouman Faculty of Engineering, College of Engineering, University of Tehran, P.O. Box 43581-39115, Iran

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.

DOI: 10.1504/IJLSM.2025.144698

International Journal of Logistics Systems and Management, 2025 Vol.50 No.3, pp.386 - 409

Accepted: 06 Aug 2022
Published online: 27 Feb 2025 *

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