Abstract
In this paper, a blood supply chain network (BSCN) is designed to reduce the total cost of the supply chain network under demand and transportation costs. The network levels considered for modeling include blood donation clusters, permanent and temporary blood transfusion centers, major laboratory centers and blood supply points. Other goals included determining the optimal number and location of potential facilities, optimal allocation of the flow of goods between the selected facilities and determining the most suitable transport route to distribute the goods to customer areas in uncertainty conditions. This study addresses the issue of blood prishability from blood sampling to distribution to customer demand areas. Given that the model was NP-hard, the MFGO algorithm were used to solve the model with a priority-based solution. The results of the design of the experiments showed the high efficiency of the MFGO algorithm in comparison with the PSO algorithm in finding efficient solutions. Also, the mean of the objective function in robust approach is more than the one in the deterministic approach, while the standard deviation of the first objective function in the robust approach is less than the one in the deterministic approach at all levels of the uncertainty factor.
Highlights
Chain is a set of organizations which are linked together by material, information, and financial flows
The results show that relevant managers should be aware of the behavior of blood donors, people affected by the disaster and the effect of disruption in the design of the blood supply chain network (BSCN) (Samani et al, 2020)
The objective function considered for this model were to minimize the cost of the entire supply chain network
Summary
Chain is a set of organizations which are linked together by material, information, and financial flows Such organizations include enterprises that produce raw materials and components of products and provide services such as distribution, storage, wholesale, and retail. In this set, final customers are considered the last level of the chain and one of the members of these organizations (Ghahremani Nahr et al, 2020). Supply chain includes facilities such as raw material suppliers, manufacturing centers, warehouses, wholesalers and retailers, distribution centers, and customers in which material and information flows exist within and between them (Nozari et al, 2019). In this paper, a BSCN is designed with the objective of reducing the total cost of the network that simultaneously optimizes the number and location of potential facilities, optimizes the flow of blood groups between selected centers and optimizes the appropriate routing of transport and distribution of blood groups to demand centers
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