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A Study on Improving the Efficiency of the Knapp Test for injection Ampoule Inspection by Applying the Taguchi Method, TRIZ and CBR

机译:通过应用Taguchi方法,Triz和CBR提高注射安瓿检测效率的研究

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This study first defined two major problems in the automatic inspection of the inspection machine for injection medicines, which were the inspection results falling beyond the target range resulting in a low performance ratio and a lengthy process of machine parameter adjustments to reach the expected performance ratio. It then performed a manual inspection to determine the existing performance status. During the analysis phase of the study, TRIZ and CBR (case based reasoning) were integrated and used as the manifest tool to inspect and adjust the parameters related to the Knapp test for the purpose of utilizing their ways of systematic thinking to find the relative parameters that might affect the inspection quality, and further to confirm four major parameters through screening by TRIZ and CBR, including the magnification, the bi-qualitative alloplasm of the relative positions of different images, the maximum floating foreign particle lumps and the maximum foreign particle lumps. During the improvement phase of the study, a set of test procedures combining the Taguchi method and analysis of variance was proposed to determine the optimum parameter combination of the major parameters. The validation tests confirmed that the problem solution structure developed in this study could allow the automatic inspection to realize the expected efficiency. This structure could make a significant contribution to the application of the Knapp test in medical automatic inspection systems, and serve as a reference to industries relying on manual production or inspection.
机译:本研究首先确定了注射药物检查机的自动检查中的两个主要问题,这是落后于目标范围的检查结果,从而导致低的性能比率和机器参数调整的冗长过程,以达到预期的性能比率。然后它执行了手动检查以确定现有的性能状态。在研究的分析阶段,TRIZ和CBR(基于案例推理)被整合并用作清单工具,以检查和调整与KNAPP测试相关的参数,以便利用其系统思维找到相对参数的方法来找到相关参数这可能会影响检查质量,进一步通过TRIZ和CBR筛选来确认四个主要参数,包括放大倍数,不同图像相对位置的双定性单位,最大浮动异物颗粒和最大的外来粒子块。在研究的改进期间,提出了一组测试程序,组合Taguchi方法和方差分析以确定主要参数的最佳参数组合。验证测试证实,本研究中开发的问题解决方案结构可以允许自动检查实现预期效率。这种结构可以对KNAPP测试在医疗自动检查系统中的应用进行重大贡献,并作为依赖手动生产或检查的行业的参考。

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