Adaptive Control Limits for Bivariate Process Monitoring
作者:
GrabovPavel,
IngmanDov,
期刊:
Journal of Quality Technology
(Taylor Available online 1996)
卷期:
Volume 28,
issue 3
页码: 320-330
ISSN:0022-4065
年代: 1996
DOI:10.1080/00224065.1996.11979682
出版商: Taylor&Francis
关键词: Adaptive Control Scheme;Control Limits;Statistical Process Control;Variables Control Charts
数据来源: Taylor
摘要:
Variables control charts implement process state testing by separately assessing the measures of central tendency and spread. This work, based on the ideas of bivariate process control, analyzes whether the standard charting method could be considered as optimal and presents an alternative mode of process evaluation—biparameter description in terms of the joint distribution of sample averages and standard deviations. Thus it becomes possible to benefit from the advantages of this approach and at the same time to overcome its main shortcoming, namely lack of diagnostic ability. The proposed singleX̄chart with adaptive control limits provides a reliable tool for recognizing process state and indicating the parameter responsible for an out-of-control state. Additionally, the proposed method does not require a constant sample size during data collection.
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