Developing a fuzzy goal programming model for optimizing humanitarian supply chain operations

Document Type: Research Paper


1 Department of management, College of Human Science, Saveh Branch, Islamic Azad University, Saveh, Iran

2 Department of management, college of human science, Saveh Branch, Islamic Azad University, Saveh, Iran

3 Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran



A review of natural disasters that have occurred over recent decades indicates the high costs and casualties caused by them for governments and societies arousing concerns in this field. In this regard, making proper decisions and taking appropriate and real-time measures in each phase of the crisis management cycle can re-duce possible damages during disasters and decrease the vulnerability of society. Hence, the present study aims to propose a fuzzy goal programming (FGP) model in the primary and secondary stages of disasters. The primary stage is aimed at providing disaster-affected areas with relief services and commodities while the purpose of the secondary stage is to provide disaster centers with aid and transfer the injured to relief centers. The proposed mathematical model has been validated using the FGP approach and the NSGAII metaheuristic algorithm and adjusting the parameters of the Taguchi method. The results reveal that the proposed model can improve the programming and flexibility of relief measures in disaster-affected areas in both primary and secondary stages. It is also found that the use of the metaheuristic algorithm facilitates the evaluation and decision-making procedures in big disasters and verifies the efficiency of the algorithm in large dimensions.


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