基于PSO-AHP算法的医疗设备全生命周期风险评价方法

A Full Life Cycle Risk Assessment Method for Medical Equipment Based on PSO-AHP Algorithm

由于医疗设备全生命周期不同阶段面临着不同的风险,导致相关风险评价结果的偏差较大,为此提出基于粒子群优化-层次分析法(Particle Swarm optimization-Analytic Hierarchy Process,PSO-AHP)的医疗设备全生命周期风险评价方法。利用PSO-AHP算法,分别从医疗设备全生命周期中的设计和研发阶段、采购和安装阶段、运行和维护阶段、报废和回收阶段出发,综合分析医疗设备风险因素构成,并将具体的风险因素作为粒子群优化(Particle Swarm optimization,PSO)算法的粒子,将适应度函数最小化作为目标函数,实现对医疗设备全生命周期风险的寻优计算。测试结果表明,设计方法的评价结果与实际风险值之间的拟合度最高,对应的偏差始终稳定在0.001以内。

Due to the different risks faced by medical equipment at different stages of the entire lifecycle,there is a significant deviation in the relevant risk assessment results.Therefore,a medical equipment full lifecycle risk assessment method based on Particle Swarm optimization-Analytic Hierarchy Process(PSO-AHP)algorithm is proposed.Using the PSO-AHP algorithm,the composition of medical equipment risk factors was comprehensively analyzed from the design and development stages,procurement and installation stages,operation and maintenance stages,and scrapping and recycling stages throughout the entire life cycle of medical equipment.The specific risk factors were used as particles in the Particle Swarm optimization(PSO)algorithm,and the fitness function was minimized as the objective function to achieve optimization calculation of the entire life cycle risk of medical equipment.The test results indicate that the fit between the evaluation results of the design method and the actual risk value is the highest,and the corresponding deviation remains stable within 0.001.