In the contemporary context of quantum computing, the availability of quantum computing platforms through cloud services is increasing, which has democratized access to this technology. This is generating interest in the industry and the scientific community. However, the increasing demand for access to quantum computers is facing limited resource availability, leading to prolonged waiting times for users and high execution costs. Leveraging the under-utilization, it has already been shown that it is possible to optimize the use of current QPUs by scheduling quantum tasks, and the generated noise does not significantly affect the results. This can be achieved concretely by combining circuits. To this end, the main objective of this work is to define and validate three circuit scheduling policies for the QCRAFT Scheduler, improving the efficiency of QPU utilization and reducing both waiting times and associated task execution costs. A validation of each of the policies has been performed, achieving an average cost reduction of 83.67% and an average task reduction of 84.20% concerning the single execution of the same circuits.