Optimization of red blood cell inventory: a blood‐type compatibility‐preference and emergency model

Abstract

AbstractTransfusion of red blood cells (RBCs) is essential for different medical conditions such as surgery, anemia, and cancer. Blood is a precious living composition consisting of eight types of RBCs that can be transfused by either exact or compatible substitutes. As stored blood gets older, it begins to deteriorate; therefore, excessive blood supply at hospitals results in spoilage, while limited supply results in shortage. This research aims at finding the optimal order‐up‐to‐level quantities of blood, which minimize its shortage and outdated units. Stochastic demand, blood aging, emergency orders, and compatibility preference are considered in this study. A customized simulated annealing algorithm is built for optimization. Several simulation experiments are conducted to test the merits of the model in a selected hospital. Not only does the model demonstrate improved results in the mean inventory/age, shortage/spoilage, and substitution percentage but it also serves as a test bed for better understanding of RBC inventory behavior under different compatibility policies.