Clustering-based demand forecasting with an application to immunoglobulin products

Efficient healthcare supply chain management can benefit greatly from accurate demand forecasting, which can help reduce costs and prevent patient treatment delays. This is particularly challenging for demand forecasting for the human immunoglobulin blood product stored in hospital blood banks due to the diverse patient population and therapeutic applications. Our study proposes an iterative clustering-based demand forecasting framework to …