软件支持CCC和CQC控制图

Darja Noskievičová, M. Mahdal, Kateřina Brodecká
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引用次数: 1

摘要

统计过程控制(SPC)是一种过程控制方法,已广泛应用于任何工业或非工业领域。SPC是基于所谓的Shewhart过程可变性的概念。这一概念区分了由明显影响的共同原因引起的变异性和由异常可分配原因引起的变异性。新的制造技术和概念有力地促进了高水平工艺能力的真正实现。在这种情况下,区分共同变异性原因和可分配原因越来越困难。传统的属性控制图对于具有非常低的缺陷水平的过程的监视和控制是不够的解决方案(就ppm而言)。答案可以在CCC和CQC控制图的应用中找到。本文讨论了软件应用程序的介绍,该应用程序的创建有助于在实践中实际部署这些有效的控制图表方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SW support for CCC and CQC control charts
Statistical process control (SPC) is an approach to process control that has been widely used in any industrial or non-industrial fields. SPC is based on so called Shewhart's conception of the process variability. This conception distinguishes variability caused by obviously effected common causes from variability caused by abnormal assignable causes. New manufacturing technologies and concepts strongly contributed to the real attainment of a high level of the processes capability. In such conditions a distinction of common variability causes from assignable causes is more and more difficult. Conventional attribute control charts are not adequate solution for monitoring and control of the processes with very low level of defects (in terms of ppm). The answer can be found in the application of CCC and CQC control charts. The paper deals with the presentation of the SW application which was created to contribute to the practical deployment of these effective control charting methods in practice.
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