Control charts such as X and R charts are widely used in industry to monitor quality. These charts are effective in detecting large departures from the in-control condition. Other process monitoring methods, such as Cumulative Sum (CUSUM) charts are sequential in nature as they accumulate information from previous observations. CUSUM charts are good at detecting more moderate presistent process...

In usual quality control methods, the of a process or product is evaluated by monitoring one more characteristics using their corresponding distributions. However, when characteristic defined through relationship between response and independent variables, regime referred to as profiles monitoring. this article, we improve performance Exponentially Weighted Moving Average Range (EWMAR) charts, ...

This study develops a least squares support vector machines (LS-SVM) based model for bivariate process to diagnose abnormal patterns of process mean vector, and to help identify abnormal variable(s) when Shewhart-type multivariate control charts based on Hotelling’s T 2 are used. On the basis of studying and defining the normal/abnormal patterns of the bivariate process mean shifts, a LS-SVM pa...

Performance assessment, impact detection, and the assessment of regulatory compliance are common scientific problems for the management of protected areas. Some habitats in protected areas, however, are rare and/or variable and are not often selected for study by ecologists because they preclude comparison with controls and high community variability makes meaningful change detection difficult....

INTEGRATION OF DATA MJNING ALGORITHMS AND CONTROL' CBARI'S FOR MULTIVARIATE AND AUTOCORRELATED PROCESSES WEERAWAT JITPITAKLERT, Ph.D. ,The University of Texas at Arlington, 2009 Supervising Professor: Seoung Bum Kim The objective of tllli3 dissertation is to integrate state-of-the-art data mining 3lgoritbms with statistical process control (SPC) tools to a.chieve efficient 'monitoring in multiv...

In this paper, a CUSUM control chart based on data depth is considered for detecting a shift in either in the mean vector, the covariance matrix, or both of the process. The proposed chart is preferable from a robustness point of view, has attractive detection performances and can be useful in preliminary analysis setting where there is limited knowledge about the underlying process. A diagnost...

It is quite common in industry to resort to grouped observations especially in cases where registering the exact value of the characteristic of interest is difficult or costly. In this paper we present a new methodology for handling grouped data arising from processes involving more than one correlated variables.

Health care provision supplies and integrates services for both acute and long-term care to an aging but still very active population. We suggest better methods for monitoring the health diagnostic and treatment services of care providers. In particular, we examine the construction and use of industrial quality control methods as applied to the health care providers in both the prevention and c...