Nearly 40% of the mortality associated with traumatic injuries worldwide is due to uncontrolled or insufficiently controlled hemorrhaging. Fluid resuscitation is vital to effectively control hemorrhaging by restoring lost blood volume. The precise control of fluid dosing is of great importance during resuscitation. This work intends to establish a new fluid resuscitation control algorithm to provide optimal fluid dosing in various hemorrhage scenarios. Current research leverages the results of the optimal control approach to design a model predictive control (MPC) algorithm for fluid resuscitation. The control goal is to reach the target blood volume, which serves as the output for the algorithm. In the next step, the MPC controller will be integrated with a testbed and evaluated against real-world hemorrhage scenarios.