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目的 运用统计学方法对冲洗机质量控制 (QC)管理图进行分析 ,对图表数据及其走势做出评价和解释 ,从而加强对冲洗机的科学化管理 ,促进QC工作的深入开展。方法 测量每天QC光楔片的感度、对比度、最小密度 ,记录在QC管理图中 ,求出药液 1个循环周期 (3周以上 )的均值( x)、标准差 (s)、极差 (R) ,进一步对趋向图做出评价和解释 ,指导管理决定的制订和实施。结果 利用监控所得感度、对比度数据建立的相对频率分布图 ,笔者可以判断它是否是对称的钟型曲线。若不是 ,则说明存在着几个末端值 ,也就是可能超出质控界限的数值 ,拉得曲线向左或右偏移。若是正态分布 ,则进一步观察标准差。 x± 2s位于相应性能指标的上下控制限内 ,则说明冲洗机处于稳定的工作状态。结论 统计学方法的指导 ,使得冲洗机的QC工作更加科学、量化 ,进一步加深了对趋向图的理解和运用程度 ,使质量管理迈向 1个新台阶。
Objective To use statistical methods to analyze the quality control (QC) management chart of the processor and to evaluate and interpret the chart data and its trend, so as to strengthen the scientific management of the processor and promote the in-depth development of the QC. Methods The sensitivity, contrast, and minimum density of QC wedges were measured every day and recorded in the QC chart. The mean (x), standard deviation (s), and extreme range of the solution for one cycle (more than three weeks) were determined. R) further evaluate and interpret the trend and guide the formulation and implementation of management decisions. Results Using the relative frequency distribution chart established by the sensitivity and contrast data obtained by the monitoring, the author can judge whether it is a symmetrical bell curve. If it is not, there are several end values, that is, values that may exceed the limit of the quality control, and pull the curve to the left or right. If the distribution is normal, observe the standard deviation further. The x±2s is within the upper and lower control limits of the corresponding performance indicators, indicating that the processor is in a stable working condition. Conclusion The guidance of statistical methods makes the QC of the processor more scientific and quantitative, further deepens the understanding and application of trends, and leads quality management to a new level.