Univariate and multivariate control charts for monitoring dynamic-behavior processes: a case study

Univariate and multivariate control charts for monitoring dynamic-behavior processes: a case study

The majority of classic SPC methodologies assume a steady-state (i.e., static) process behavior (i.e., the process mean and variance are constant) without the influence of the dynamic behavior (i.e., an intended or unintended shift in the process mean or variance). Traditional SPC has been successfu...

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Bibliographic Details
Main Authors: Salah Haridy, Zhang Wu
Format: Article
Language:English
Published: OmniaScience 2009-12-01
Series:Journal of Industrial Engineering and Management
Subjects:
Statistical process control (SPC), Dynamic behavior, EWMA control charts, MEWMA control chart, Autocorrelation, ARIMA models, Cold rolling, Linear trend models
Online Access:http://www.jiem.org/index.php/jiem/article/view/104

Internet

http://www.jiem.org/index.php/jiem/article/view/104

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