System Dynamic Modeling in Blood Supply System (Case Study)

Abstract

XYZ is one of the agencies that handle the distribution of blood with the amount of supply needed to meet
demand is uncertain. Problems occur in inventory management which has an impact on bloodstock
fluctuations. This research was conducted using a dynamic system approach to design a blood supply
model at XYZ and provide recommendations for the best scenario for existing problems based on the
priority indicators of the objectives. The structure of the model is described in causal loop diagrams and
stock and flow diagrams. The objective function of this modeling model is to minimize the instability of
the blood supply so that it can stabilize the intake and output of blood donors. Four policy scenarios are
simulated in the model with the parameters used is the number of replacement donors and low expired
blood. The simulation result for the best scenario is a scenario that has 230 donor bags every 15 days with
a policy of procuring donors twice in one month.