The management of heterogeneous magnetic resonance imaging (MRI) machines involves a set of complex processes, which encompass multiple examination types, different machine functionalities, and patient priorities. We design three types of rules for task assignment, patient scheduling, and appointment duration in heterogeneous MRI facilities with the consideration of patient priorities to increase system throughput, decrease patient waiting time, and improve machine utilisation. We use a real-world case study to investigate the performance of the proposed rules using discrete event simulation. The simulation results show that allocating appointments with similar durations to the same MRI machines reduces patient waiting time effectively. Moreover, queue pooling is an effective method when appointment durations are within a specific range. Finally, changing the appointment duration based on both service time and number of patients can be more effective in increasing the overall machine utilisation.

异构磁共振成像（MRI）机器的管理涉及一组复杂的过程，其中包括多种检查类型，不同的机器功能和患者优先级。我们设计了三种类型的规则，用于异构MRI设施中的任务分配，患者调度和预约时间，并考虑了患者优先级，以增加系统吞吐量，减少患者等待时间并提高机器利用率。我们使用实际案例研究来使用离散事件模拟来研究所提出规则的性能。仿真结果表明，将具有相似持续时间的约会分配给同一台MRI机器可以有效地减少患者的等待时间。此外，当约会持续时间在特定范围内时，队列池是一种有效的方法。最后，