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Developing a Novel Fuzzy Evaluation Model by One-Sided Specification Capability Indices
Mathematics ( IF 2.4 ) Pub Date : 2021-05-11 , DOI: 10.3390/math9101076
Wei Lo , Chun-Ming Yang , Kuei-Kuei Lai , Shao-Yu Li , Chi-Han Chen

When all of the one-sided specification indices of each quality characteristic reach the requirements of the process quality level, they can ensure that the process capability of the product meets the requirements of the process quality level. This study constructs a fuzzy membership function based on the upper confidence limit of the index, derives the fuzzy critical value, and then labels the fuzzy critical value on the axis of the visualized radar chart as well as connects adjacent critical points to shape a regular polygonal critical region. Next, this study calculates the observed value of the index to estimate and mark it on the axis for forming a visualized fuzzy radar evaluation chart. Obviously, this fuzzy evaluation model not only reduces the testing cost but also makes the quality level quickly meet the requirements of the specifications. Further, the radar chart can reduce the risk of misjudgment attributable to sampling errors and help improve the accuracy of evaluation by a confidence-upper-limit-based fuzzy evaluation model. Therefore, this easy-to-use visualized fuzzy radar evaluation chart is used as an evaluation interface, which has good and convenient management performance to identify and improve critical-to-quality quickly. Improving the quality of the process before the product is completed will also have the advantage of reducing social losses and environmental damage costs.

中文翻译:

通过单方面规格能力指标开发新型的模糊评估模型

当每个质量特性的所有单方面规格指标均达到过程质量水平的要求时,它们可以确保产品的过程能力满足过程质量水平的要求。本研究基于指标的置信度上限构建模糊隶属函数,导出模糊临界值,然后在可视化雷达图的轴上标记模糊临界值,并连接相邻的临界点以形成规则的多边形关键区域。接下来,本研究计算该指标的观测值,以估计该指标并将其标记在轴上,以形成可视化的模糊雷达评估图。明显地,这种模糊的评估模型不仅降低了测试成本,而且使质量水平迅速达到了规格要求。此外,雷达图还可以减少基于采样误差的误判风险,并可以通过基于置信上限的模糊评估模型帮助提高评估的准确性。因此,该易于使用的可视化模糊雷达评估图用作评估界面,具有良好而便捷的管理性能,可以快速识别和提高对质量的关键。在产品完成之前提高过程质量也将具有减少社会损失和环境破坏成本的优势。雷达图可降低基于采样误差的误判风险,并通过基于置信上限的模糊评估模型帮助提高评估的准确性。因此,该易于使用的可视化模糊雷达评估图用作评估界面,具有良好而便捷的管理性能,可以快速识别和提高对质量的关键。在产品完成之前提高过程质量也将具有减少社会损失和环境破坏成本的优势。雷达图可降低基于采样误差的误判风险,并通过基于置信上限的模糊评估模型帮助提高评估的准确性。因此,该易于使用的可视化模糊雷达评估图用作评估界面,具有良好而便捷的管理性能,可以快速识别和提高对质量的关键。在产品完成之前提高过程质量也将具有减少社会损失和环境破坏成本的优势。
更新日期:2021-05-11
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