A Variable-Selection-Based Multivariate EWMA Chart for Process Monitoring and Diagnosis
نویسندگان
چکیده
منابع مشابه
A Variable-Selection-Based Multivariate EWMA Chart for Process Monitoring and Diagnosis
Fault detection and root cause identification are both important tasks in Multivariate Statistical Process Control (MSPC) for improving process and product quality. Most traditional control charts, including Hotelling’s T 2 chart and the Multivariate Exponential Weighted Moving Average (MEWMA) chart, separate the two tasks into independent and successive procedures by signaling the existence of...
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Control charts are themost extensively used technique to detect the presence of special cause variations in processes. They can be classified intomemory andmemoryless control charts. Cumulative sum and exponentially weightedmoving average control charts are memory-type control charts as their control structures are developed in such a way that the past information is not ignored as it is done i...
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Control chart is the most important Statistical Process Control (SPC) tool used to monitor reliability and performance of manufacturing processes. Variability EWMA charts are widely used for the detection of small shifts in process dispersion. For ease in computation all the variability EWMA charts proposed so far are based on asymptotic nature of control limits. It has been shown in this study...
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ژورنال
عنوان ژورنال: Journal of Quality Technology
سال: 2012
ISSN: 0022-4065,2575-6230
DOI: 10.1080/00224065.2012.11917896