Use of fuzzy TOPSIS techniques for selection of best alternatives of blood bank Supply chain

Blood service operations are a key component of the healthcare system all over the world. Still the research in this field is lacking due to their associated unique challenges like. Its usable lifetime value is of 21 days and Supply and Demand of blood are stochastic in nature. In this paper, we develop a generalized network optimization model for the supply chain of blood. We consider a regionalized blood banking system consisting central blood banks, regional blood banks and hospitals. The various factors that affect are considered and are weighed and all are simultaneously considered by MCDM (Multiple criterion decision making) methods for selection of best alternative. This can be used to develop a whole network by building on this step and extending it to all central blood banks instead of one central blood bank as considered in this paper The framework that we present is also applicable, with appropriate modifications, to the optimization of other supply chains of perishable products.