SW support for CCC and CQC control charts

Darja Noskievičová, M. Mahdal, Kateřina Brodecká
{"title":"SW support for CCC and CQC control charts","authors":"Darja Noskievičová, M. Mahdal, Kateřina Brodecká","doi":"10.1109/CARPATHIANCC.2014.6843633","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":105920,"journal":{"name":"Proceedings of the 2014 15th International Carpathian Control Conference (ICCC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2014 15th International Carpathian Control Conference (ICCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CARPATHIANCC.2014.6843633","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

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.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
软件支持CCC和CQC控制图
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。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The control unit with wireless interfaces for CNC model Mine gas monitoring data analysis The neural network analysis of optical glasses transmittance Case study on an event model-based PID control of a thermal process The vision analysis of a McKibben pneumatic artificial muscle
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1