面向不确定性的医院设备优化研究

Research on Optimization of Hospital Equipment Based on Uncertainty

针对MRI预约检查时长不确定性问题,在MRI预约问题的基础上,以MRI设备运行成本和患者等待成本为目标构建目标函数,最后提出基于SA-MOEA/D算法的MRI设备预约优化求解方法,从而合理规划不同类型的预约检查患者MRI检查顺序和检查开始时间。将方案应用于真实医院MRI检查中进行验证,并与传统的多目标求解算法NSGA-II和MOEA/D算法进行对比。结果表明,医院实际MRI设备预约业务中,相较于NSGA-II算法和MOEA/D算法,本研究提出的SA-MOEA/D算法在反向世代距离(IGD)和超体积(HV)指标上表现良好,具有良好的收敛性和有效性。

The duration of MRI appointment is uncertain.on basis of the MRI appointment problem,operating cost of MRI equipment and waiting cost of patients are used as the objective to construct the objective function.Finally,SA-MOEA/D algorithm is proposed to solve the optimization solution method of MRI equipment appointment,so as to reasonably plan the MRI examination sequence and starting time for patients with different types of appointment.The proposed method is applied in real hospital MRI examinations to verify itself,and compare it with traditional multi-objective algorithm NSGA-II and MOEA/D algorithm.The results show that compared with NSGA-II algorithm and MOEA/D algorithm,the proposed SA-MOEA/D algorithm performs well in the indicators of inversion generation distance(IGD)and hypervolume(HV),and has good convergence and effectiveness in the actual MRI equipment appointment.